Businesses have a lot of data. In the world of data, Microsoft gives you powerful tools to help make sense of all that information. Two of the biggest names are Power BI and the newer Microsoft Fabric. Many people are talking about them. They wonder: what is the difference in the Microsoft Fabric vs Power BI debate? It’s a good question.

Power BI has been a leader in business intelligence for years. But Microsoft Fabric offers a much bigger, all-in-one approach. They have different jobs. Understanding their distinct roles (their specific jobs) is key. This understanding is what you need to build the right data strategy for your company.

What is Microsoft Fabric and How Does It Work?

Let’s start with Microsoft Fabric. Before we compare Microsoft Fabric vs Power BI, it is important to get a clear Microsoft Fabric overview. So, what is it? Fabric is a complete data platform. It is AI-powered. It was designed to handle every part of a company’s data needs, all in one place.

You can think of it as a unified system. This system brings together three big areas: data engineering, data science, and business intelligence. This means Fabric is not just one tool. It is a suite of services (a group of services) that all work together. This approach makes hard data tasks simpler. It simplifies them by giving teams a single environment for everything, from data collection all the way to analysis.

How does it work? Fabric is built on a foundation. This foundation is called OneLake. OneLake acts as a single, logical data lake for the whole organization. (A data lake is just a big place to hold data). This means all your data is stored in one place. It’s stored in an open format. This makes the data easier to manage and access. The platform itself also integrates (connects) key Microsoft services. These include Data Factory, which is for data integration. It also includes Synapse Analytics for data warehousing and real-time analytics. And, it includes Power BI for visualization. This tight integration is a core part of how Fabric works. It allows teams to move smoothly from one data task to the next. They can do this without switching between different applications.

What are the Main Features and Benefits of Microsoft Fabric?

So, what’s the main benefit? The primary advantage (the main good thing) of Fabric is that it’s all-in-one. This is one of the key Microsoft Fabric benefits. It combines many tools that used to be separate. This combination can reduce complexity (make things less hard) and lower costs. Fabric supports the entire data lifecycle. This means it helps with everything, from ingesting raw data (bringing data in) to creating predictive models.

It is also a Software as a Service (SaaS) platform. This is important. Because it is SaaS, it simplifies deployment (getting it started) and management (keeping it running). The Microsoft Fabric analytics capabilities are very big. They allow for everything from real-time data processing to advanced machine learning projects. This makes Fabric a powerful choice. It’s for organizations that want a complete data solution that can scale (grow) with their needs.

What is Power BI and What is it Used For?

Now, let’s look at Power BI. For a complete Power BI overview, it helps to think of it as a specialized tool. It’s Microsoft’s specialized tool for business intelligence and data visualization.

What is its main purpose? Its main job is to turn raw data into something easy to understand. It takes data from many sources. It then makes clear, interactive, and nice-looking reports and dashboards. For many years, Power BI has been the go-to choice for companies. These are companies that need to understand their data using charts, graphs, and maps. This tool empowers users. It helps people (even those without a technical background) to explore data. They can then find actionable insights, which are ideas they can act on.

Power BI is made of several components, or parts, that work together. One part is Power Query. This helps connect to and transform (change) data from hundreds of sources. Another part is Power Pivot, which is used for data modeling. There is also DAX. DAX is the formula language you use to create custom calculations. The final product you make is often a Power BI dashboard. A dashboard is a single-page summary of key metrics (important numbers). Or, it could be a multi-page report that lets you explore the data more deeply. The main focus of Power BI analytics is to present data. It presents it in a way that is easy to understand and easy to share.

What are the Main Features and Benefits of Power BI?

The core Power BI benefits are simple. They are its ease of use and its powerful visualization capabilities. (Visualization just means making pictures, like charts). Its interface is user-friendly. This allows people all across an organization to create their own reports. They can do this without having to rely on IT departments. This self-service approach is a big deal. It makes Power BI a great tool for Power BI for business intelligence.

Another major benefit is its strong integration. It connects very well with other Microsoft products, like Excel and Azure. The tool offers a wide range of standard and custom visuals. This allows you to make reports that are highly tailored, or made just for your needs. For businesses that are focused only on understanding and presenting their data, Power BI is a great choice. It provides a cost-effective and powerful solution.

What is the Difference in Microsoft Fabric vs Power BI?

This is the big question. Power BI is now a part of Microsoft Fabric. That’s true. But, they still serve different primary purposes. And you can still use them separately. So the choice between Microsoft Fabric vs Power BI really depends on your data needs. It depends on the scale (how big) and scope (how wide) of those needs.

Here’s the simple difference: Power BI is a tool for visualization. Fabric is a complete platform for the entire data journey. The conversation about Power BI vs Microsoft Fabric often comes down to this: Do you need a specialized reporting tool? Or do you need a unified analytics ecosystem (a whole system that works together)?

This table below will help. It breaks down the core differences. This should help clarify the Microsoft Fabric vs Power BI discussion.

So, what’s the final answer? Ultimately, the decision in the Microsoft Fabric vs Power BI comparison is all about scope. What do you need to do? If your organization needs an end-to-end platform to manage large volumes of data, Fabric is the choice. If you need to run complex analytics, Microsoft Fabric is the better choice for business intelligence.

But, what if your main goal is different? If your main goal is just to create and share insightful reports and dashboards, then standalone Power BI is probably enough. It is likely sufficient and more cost-effective. The introduction of Fabric has changed the Power BI vs Microsoft Fabric dynamic. It has positioned Power BI as a key experience inside a much larger, more powerful ecosystem.

Making the Right Choice with Expert Guidance

This choice is important. Choosing and implementing the right data platform is more than just a technical decision. It is a strategic one. It is a choice that will impact your entire business.

Microsoft Fabric offers a powerful, unified solution. That is true. However, its complexity can be a challenge. This is where we can help. As a certified Microsoft partner, we have deep expertise in the Microsoft data platform. Beyond Key helps companies (enterprises) consolidate their data. We help you bring it all into a single source of truth. We deliver solutions that give you faster insights. We also help you establish analytics leadership in your organization. We do this by ensuring you have a smooth and successful data fabric implementation.

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Conclusion: Which Data Tool is Right for You?

So, we are back to the final choice. The choice between Microsoft Fabric vs Power BI comes down to your company’s specific needs. Power BI is, and remains, an excellent and user-friendly tool. It’s for businesses focused on data visualization and reporting. It is perfect for teams who need to create interactive dashboards. And it’s great for sharing insights quickly.

On the other hand, there is Microsoft Fabric. Fabric is the answer for organizations that need more. It is for those who require a complete, end-to-end platform. This platform manages the entire data lifecycle. That means everything from ingestion and engineering to advanced analytics and machine learning. Power BI is a component (a part) of Fabric. That’s a key thing to remember. But the full Fabric platform offers a more scalable and unified solution for very complex data challenges. You have to look at your own situation. By evaluating your goals, your team structure, and your budget, you can confidently decide. You can pick which tool will best empower your company’s data-driven future.

Frequently Asked Questions

1.Is Microsoft Fabric replacing Power BI?
No. Microsoft Fabric is not replacing Power BI. Instead, Fabric includes Power BI as one of its core components (one of its main parts). Power BI remains Microsoft’s primary tool for data visualization. It is just integrated (put inside) a larger, unified analytics platform now. This integration actually enhances its capabilities.

2. What is the primary difference between Microsoft Fabric and Power BI?
The main difference is scope, or how much it does. Power BI is a specialized tool used for data visualization and reporting. Microsoft Fabric is a complete, end-to-end platform. It covers the entire data lifecycle. This includes data engineering, data science, and real-time analytics. Power BI is just one part of this big platform.

3. What are the cost differences between Microsoft Fabric and Power BI?
Power BI usually has a per-user monthly fee. This is often cost-effective (cheaper) for teams who are only focused on reporting. Microsoft Fabric uses a capacity-based pricing model, called CUs. This price covers all its integrated services. This may be a larger investment at the start. But it can be more efficient if you are trying to consolidate (combine) many different data services.

4. Is Microsoft Fabric suitable for real-time data processing?
Yes, it is. One of the key Microsoft Fabric benefits is its strong capability for real-time data processing and analytics. It can ingest (take in) and analyze streaming data. This is data from sources like factory sensors or social media. This allows businesses to monitor performance and make decisions based on up-to-the-minute information.

Choosing the right Power BI partner is a critical decision, maybe the most important one for your data strategy. This guide makes that choice easier. Here, we break down everything you need to know in simple terms. You will learn what a great partner actually does (it is more than just software setup), the key skills you must look for, and the exact questions to ask before you commit. Think of this as your clear, simple roadmap to finding a team that will help you turn your data into real business results.

Why Does Choosing the Right BI Partner Matter So Much?

You already know Microsoft Power BI is a strong tool. But just having the tool is not enough. Its real power often stays hidden.

Why? Industry reports show many business intelligence (BI) projects do not hit their goals. It is shocking, really. The problem is not the software. The problem is a lack of good strategy, bad setup, or people not using it.

This is exactly why picking your Power BI Partner is the biggest choice you will make. It’s that important.

Choose the wrong partner? You get big bills, reports no one looks at, and a total waste of money. But the right partner is completely different. They become a key helper. They help turn your messy data into a clear guide for making decisions.

They make sure you get a real return on your investment (ROI). They do more than just install the platform; they build a full data plan that matches your company’s future goals.

What Does a Power BI Partner Actually Do?

So, what does a good Power BI Partner do? It is much more than just setting up the software. Think of them as specialists. Their job is to help you use and manage the Microsoft platform.

They help you study your data and find the big, important insights hidden inside. Their main role is to design a solution (a complete system) for you. This solution must be strong, it must be able to grow with you, and it must be easy for your team to use. These consultants are key. They change your complex data into a simple story that helps your business move ahead.

Their work covers the whole project, from the first plan to long-term help. This means setting up the Power BI platform, yes. But it also means connecting all your different data sources (like sales, marketing, and finance). And, crucially, they build strong data models. A good partner makes sure your data is clean, organized, and ready to be used. This builds the strong base for all your reports. They are like the architects building the blueprint for your company’s business intelligence house.

What Are the Key Factors in Selecting a Power BI Partner?

Picking the right partner means you have to look closely at a few key skills. You need to see the whole picture of what they can do, not just one thing. A great Power BI implementation partner has three parts: they are very good with the technology, they understand business, and they have a good eye for design.

Is Their Technical Expertise Verifiable and Deep?

Technical skill is the base for everything. Your partner must have a deep knowledge of the Power BI ecosystem, and you must be able to check it. This is more than just making simple reports. Look for a Microsoft Power BI Partner. Do they have certified experts? Can they show you work they have finished? Their skill will be obvious when they talk about hard technical problems and how they solve them.

• DAX Skills: What is DAX? It stands for Data Analysis Expressions. It is the formula language used in Power BI. A partner who is good at DAX can make special, custom calculations. These calculations find deeper answers in your data. For example, they can build reports that check sales growth over different times (like this month vs. last year). A basic setup cannot do that. This skill is needed for serious data performance and visualization.
• Power Query Mastery: Your data is probably messy. (Whose isn’t?) A skilled partner uses a tool called the Power Query Editor. They use it to fix, combine, and clean up messy data from all your different sources. This makes sure your reports are built on correct and solid data. This step is so important, it can sometimes mean you don’t need to build a whole separate, expensive data warehouse.

Do They Have Experience with Diverse Data Sources?

Your business will grow. And when it grows, your data gets more complex. You will need to connect to many sources, like your ERP (Enterprise Resource Planning) software, your CRM (Customer Relationship Management) tool, and your website data. A good partner can handle this. They can connect all these different types of data. They should build scalable data models (models that can grow) with you. This makes sure all your important data is in one place, on one platform. This is a key part of good data analytics services.

Do They Understand User Experience (UX/UI)?

Here is a simple truth. A report can have all the right data, but it is useless if it is confusing. If people cannot find what they need, they will not use it. A great partner understands this. They are good at user experience (UX) and user interface (UI) design. This means they make reports and dashboards that are simple, clear, and look good.

This focus on data visualization services is not just about looking pretty. It is about making sure people can understand the information quickly. This drives user adoption; it makes your team actually want to use the tool.

Can They Provide End-to-End Services?

You should find a partner who can stay with you for the whole trip. The best results come from a partner who does everything. Everything from connecting data and building models to training your people.

When one team handles the whole process, it saves time and money. It also means fewer headaches and less confusion. This should also include long-term help, often called Power BI managed services. This service makes sure your system stays fast, safe, and up-to-date, long after the project is “finished.”

What Questions Should You Ask a Potential Power BI Partner?

Do not sign anything yet. Before you choose, you must ask good questions. Their answers will show you what they can really do. The answers will show their experience and if they are a good fit for your company. A good, honest Power BI Partner will be happy to answer all of them.

• What industries do you know best? This is a big one. You need a partner who understands your business. If they know your industry, they will already know your KPIs (Key Performance Indicators), your problems, and your rules. This helps them build a solution that actually works for you.
• Can you show me what you have done? Ask to see real examples. Ask for case studies (stories of past projects) or to talk to their other clients. You can even ask for a small demo, often called a proof-of-concept. This is the best way to check if their words are true. See their skills for yourself.
• How do you protect my data? Data security is not optional. Ask them about security. Do they have certifications (like SOC 2 or ISO 27001)? Do they have experience with rules like GDPR or HIPAA (if those apply to you)? A real professional partner will have a strong, clear plan for data governance, which is how they manage and protect your information.
• How will you help my team learn this? A project is only a success if people use it. Ask about their training. Do they provide guides? What kind of support do they give after the project is done? The goal is to make your team powerful and independent. The goal is not to make you need the consultant forever.

Also, pay attention to their proposal. Is it clear? Did they send it on time? A good proposal from a Power BI implementation partner will list the exact solution, a timeline, and what they will deliver. It should show that they listened to you and understood your special needs.

What Are the Benefits of Choosing the Right Partner?

Choosing the right Power BI Partner is an investment. It is not just a cost. And it is an investment that pays you back, big time. A good partner gives you more than just reports. They help you build a “data-driven culture” (where your team uses data to make choices).

With a real expert, you can skip the common problems that make projects fail. Problems like using old tech or not having the right people. A great partner helps you get a high ROI. They do this by making sure the solution is used, can grow, and matches your big goals. They give you a data plan that is ready for the future. This is what true Power BI business intelligence is all about.

How Beyond Intranet Delivers as Your Power BI Partner

At Beyond Intranet, we work differently. We are not just another company you hire. We become a part of your team. We are a Microsoft Solutions Partner and have been doing this for over 20 years. We offer complete Power BI consulting services that are built to succeed.

Our team is made of certified Power BI experts. They have deep technical skill and real-world experience in many industries, like healthcare, manufacturing, and insurance. We know a project needs a complete plan to work. That is why our Power BI implementation services include everything: the BI architecture (the plan), data governance (the rules), custom reports, and user training.

We are more than just a Power BI development company. We are your partner. We are experts with all the Microsoft tools, like Azure Data Factory, Azure Synapse, and Databricks. We also work with Snowflake. This means we can build a strong and scalable data ecosystem (your whole data world) for you. We work to be the best Power BI consulting company by focusing on one thing: giving you real business value. We help you build that data-driven culture we talked about.

Conclusion: Making a Confident Choice

Choosing your Power BI Partner is a big deal. It will have a huge effect on your company’s data plan. So please, do not make the classic mistake: do not just pick the cheapest option. Look for value. Look for skill. And look for a team that fits with your team.

Find certified Power BI partners who can show you what they have done. They should have deep industry knowledge and care about your success, not just this one project.

If you ask the right questions and check the points we listed, you can feel good about your choice. You can pick a team that will help you unlock the true power of your data for 2026 and after. Remember, two of the most important things are clear communication and their ability to provide that full, end-to-end support.

Frequently Asked Questions

You need to make smart decisions. And you need to make them fast. That’s just business today. Microsoft Power BI is a popular tool for this. It takes raw data and turns it into clear, useful insights. But here’s the problem: getting the most out of the Power BI platform is not easy. This is where a good Power BI consulting company helps. They act as your expert guide. They show you how to use data analytics and build a better way to make decisions for your business. 

What Is Power BI Consulting And Why Does It Matter? 

So, what is Power BI consulting? It means working with specialists. These experts help your company install and improve the Power BI platform. They do a lot more than just build dashboards. Their main job is to help you create a complete data strategy. They will connect all your different data sources. They model the data (this means organizing it) for the best performance. Then, they build visuals that tell a clear story. In a tough market, using old, stale data is a huge risk. A good consultant makes sure your decisions use real-time, accurate information. That’s a serious edge. 

What Are the Benefits of Power BI Consulting? 

When you team up with a good partner, you can finally use your data well. The right consultant helps you change your whole approach. You move from just reacting to problems to predicting them. This proactive way of thinking is the single biggest factor in avoiding costly mistakes. Here are some of the key benefits. 

• Find ways to save money: Consultants spot problems (bottlenecks). They help you use your resources better. They also cut down on manual work. All this lowers your day-to-day costs. 
• Get more value from your BI tools: Experts make sure the new BI tools work perfectly with your old systems. They connect your analytics to your main business goals. This is a key part of their business intelligence solutions. 
• Get answers faster: They speed up data processing. They build automated reports and interactive dashboards. This means you get the answers you need in hours or days, not weeks or months. 
• Be ready for the future: These consultants know what’s new. They understand AI, new cloud technology, and self-service tools. They use this knowledge to protect your business from future surprises. 

Why Do Businesses Need a Power BI Consulting Partner? 

Power BI is a very strong tool. But let’s be honest. Implementing it effectively is hard. It requires a complex mix of skills that most companies just don’t have on their own staff. A Power BI implementation partner brings proven methods to the job. These methods reduce risk. They also speed up the time it takes to see real value. They have deep expertise in data modeling, DAX calculations, and performance optimization. This helps them build a strong, user-friendly solution right from the start. On top of that, the best Power BI partners can add advanced analytics, like predictive models and AI-driven insights. This unlocks a level of analysis that standard dashboards just can’t touch. 

How Do You Choose the Right Power BI Consulting Company? 

Finding a truly reliable partner is a challenge. It’s not easy. To make this process simpler, just focus on these basic criteria. This checklist will help you connect with one of the best Power BI consulting companies for your specific needs. 

• Do they know your industry and the tech? Find a vendor that has already worked in your industry. They must have proof. They also need to be experts with the main tools and technologies. This includes data visualization platforms (like Tableau) and data warehousing solutions (like Snowflake). This skill is essential. 
• Do they care about data safety? A partner you can trust must understand data governance. They need to know the compliance rules, like GDPR and HIPAA, inside and out. This knowledge is basic for keeping your data safe and reducing risk. 
• Do they think about your business? Good consultants don’t just see data. They connect that data to your technology and your main business goals. They should help you figure out your Key Performance Indicators (KPIs). They must align the whole BI project with your company’s financial and operational targets. 
• How do they work and talk? The best firms use a clear, structured process (often an agile approach). They also have to be good communicators. Can they explain complex ideas in simple terms? They need to make sure your business leaders and your IT teams can work together smoothly. 
• Is their pricing clear? A good vendor gives you clear pricing. There should be no hidden fees. You need to understand their Power BI consulting cost. Is it a fixed price for the project? A monthly managed service? Or a retainer? Ask for clarity. 

Who Are the Top 10 Best Power BI Consulting Companies in 2026? 

Thousands of firms offer BI consultancy. Finding the right one can feel impossible. So, we’ve looked at the options to find some of the best Power BI consulting companies out there. These firms are known for getting great results for their clients. Our list is a mix. It has some big, global companies and also some smaller, specialized firms. All of them are known for their expertise and success. 

1. Beyond Intranet

Beyond Intranet is a Microsoft Solutions Partner. They have been doing this for over 20 years. This makes them a top IT consulting company. They focus on complete (end-to-end) Business Intelligence and Data Analytics services. Their team has over 350 experts. They build custom Power BI solutions, do data visualization, and create modern data warehouses. They help clients in healthcare, manufacturing, and finance use data to get ahead of competitors. 

HQ: USA  

Pricing: $40 – $150 / hr 

Expertise: Power BI, Data Analytics, AI/ML, Microsoft Technologies 

2. DataToBiz

DataToBiz is an award-winning AI and BI company. They are also a certified Microsoft Gold partner. They offer Power BI solutions made just for you. They are known for being fast. They can set up custom dashboards in just hours. They also have a lot of experience in manufacturing, retail, and healthcare. 

HQ: Mohali, India 

Clutch: 4.7 Stars 

Expertise: Data Engineering, AI/ML, Resource Augmentation

3. SPD Technology

SPD Technology has 19 years of experience. They build high-quality web and mobile products. They focus heavily on security and compliance (following the rules). They offer professional BI consulting. They also have proof of experience in AI/ML and Big Data solutions, especially for FinTech and eCommerce. 

HQ: London, UK 

Pricing: $50 – $99 / hr 

Clutch: 4.8 Stars 

4. Itransition

Itransition is a Microsoft Partner with offices all over the world. They offer many IT services and consulting. Their Power BI services help clients build custom dashboards. They also help set up integrations with other software. They focus on finding insights in data that help you make more money (maximize ROI). 

HQ: Decatur, GA, USA 

Clutch: 4.9 Stars 

Expertise: Software Engineering, Managed IT Services, DevOps 

5. GoodCoreSoftware 

GoodCore has been helping clients with digital transformation for almost 20 years. They give tech advice. They provide skilled engineers. They also offer UI/UX consulting. They cover the entire software development process, from the first idea to the final product. Many see them as one of the top Power BI consulting firms. 

HQ: London, UK 

Pricing: $25 – $49 / hr 

Clutch: 5.0 Stars

6. Avanade

Avanade was created by Microsoft and Accenture. It is a very large, global company. They offer advanced Power BI services. They focus on analytics for big companies (enterprise analytics). They also build predictive dashboards and help companies move off old BI platforms. This makes them a strong Power BI dashboard development company. 

HQ: Seattle, USA 

Employees: 60,000+ 

Expertise: Enterprise Analytics, Cloud Transformation, AI 

7. Radixweb

Radixweb is a Microsoft Power BI Partner. They are good at turning raw, messy data into simple dashboards. They offer many services: analytics, implementation, and support. Their pricing is flexible. This makes them a good choice for small-to-mid-sized businesses (SMBs) and other growing companies. 

HQ: Ahmedabad, India 

Clutch: 4.8 Stars 

Expertise: Product Engineering, DevOps, Data & AI

8. Sigma Software Group

This is a global firm with over 2,000 experts. Sigma Software acts like a big, experienced company but stays flexible like a small one. They offer Power BI services. But this is just one part of their business, which also includes cloud transformation and AI/ML solutions. 

HQ: Sweden 

Pricing: $50–$99/hr 

Clutch: 4.9 Stars 

9. Collectiv

Collectiv is a U.S. company. They are “laser-focused” on one thing: business intelligence. They help teams in finance and operations. They turn their data into clear insights. They are specialists in Power BI, data strategy, and building automated reporting systems that can grow with you. 

HQ: Phoenix, AZ, USA 

Pricing: $100–$149/hr 

Clutch: 5.0 Stars

10. TTMS (Transition Technologies MS)

TTMS is a leader in Microsoft Power BI solutions. They provide complete (end-to-end) consulting and development. They have deep experience in specific industries, like pharma, energy, and automotive. They build scalable Power BI solutions. They are known as a top Microsoft Power BI consulting company. 

HQ: Warsaw, Poland 

Employees: 800+ 

Expertise: Power Platform, Azure Integration, AI & Automation

How Do You Choose the Best Fit for Your Business? 

You don’t need to commit to the first firm you meet. That’s a bad idea. Instead, start with a small, well-defined project. Think of it as a test drive. This lets you see how they think and how they operate. You can evaluate their communication style. Do they understand your business goals? Can they deliver real value quickly? The best fit is a partner that feels like an extension of your own team, not just some outside vendor. A partner who can provide a comprehensive suite of data analytics services will be able to grow with you. The top Power BI consulting firms will always prioritize this kind of collaborative relationship. So, whether you need to build your very first dashboard or fix a tangled mess of old reports, the right team can make it happen. These certified Power BI partners are equipped to handle all kinds of challenges. 

What Is the Future of Power BI Consulting? 

The future of Power BI is tied to artificial intelligence and automation. That’s clear. The best Power BI consulting companies are already doing this. They are moving beyond simple historical reports. They are now implementing predictive analytics and real-time data processing. You may have heard about “AI coworkers.” These are autonomous agents that can handle complex, multi-step tasks. This technology is changing enterprise strategy. In fact, some reports show these agents can accelerate business processes by 30-50% in many fields. So what does this mean? It means Power BI experts are now focusing on integrating these advanced capabilities. They are turning static dashboards into dynamic, self-optimizing workflows. This evolution makes the role of a skilled Power BI dashboard development company more critical than ever. 

Conclusion 

Choosing from the best Power BI consulting companies is a major strategic decision. It can deeply change your business. The right partner does more than build pretty visuals. They help you create a “data-first culture.” They streamline your operations. They uncover hidden opportunities for growth. By focusing on expertise, strategic alignment, and a collaborative approach, you can find Power BI solution providers who will help. They will turn your data from a dormant asset into your most powerful tool for making decisions. Your data already has the answers. It’s time to bring in one of the best Power BI partners to help you ask the right questions and optimize your Power BI analytics services. Ultimately, the right Power BI solution providers will deliver a strong return on your investment. 

Frequently Asked Questions 

1. What are the best Power BI consulting companies in 2026?
The best firms include companies like Beyond Intranet, DataToBiz, and SPD Technology. They mix deep technical skill with strong knowledge of your industry. They are known for building high-quality solutions that can grow. They also have great client ratings on sites like Clutch. This is what makes them some of the best Power BI consulting companies. 

2. How do I choose the right Power BI partner?
You should look for a Power BI consulting company that has experience in your industry. They must have strong skills in data governance and security. They also need to think strategically. Check their communication, project management, and pricing. A good idea is to start with a small “pilot project” to see if they are a good fit. 

3. How much do Power BI consulting services cost?
The cost changes based on the project’s difficulty and the company’s location. Experts in other countries (offshore) might charge $40 to $60 per hour. Experts in your country (onshore) usually charge $100 to $150 per hour. A simple dashboard project might cost between $3,200 and $12,000. It all depends on the provider and the plan for the Power BI implementation services. 

4. What industries benefit most from Power BI consulting?
Many industries, especially manufacturing, finance, healthcare, retail, and logistics, get big benefits. They use Power BI to watch their KPIs (Key Performance Indicators). It helps them optimize operations and get real-time insights from very complex data. A skilled Power BI dashboard development company can build a solution for any industry’s special needs. 

Most business leaders believe they know what sets them apart in today’s market. Many spend heavily on cloud migrations, artificial intelligence, and digital projects. The reality? Many overlook the invisible layer that decides if those investments work or fall flat. 

Answer: Data fabric. 

What is a Data Fabric in Simple Terms 

A data fabric is a unified architecture. It connects all your company’s scattered information into one smart system. Imagine it as the nervous system of your business. Every data point, whether in the cloud, in databases, or across different applications, becomes part of a single source of truth. 

Instead of physically moving data everywhere, data fabric builds an abstraction layer. This makes all your data look like one whole unit. People across teams can access what they need, regardless of where it lives or how it’s stored. 

This is different from the old way. Customer service and sales might see different info about the same customer if the systems don’t connect. With data fabric, you fix that. If you want seamless access to unified data across the company, data integration consulting is often the starting point. 

Understanding Data Fabric Architecture 

Data fabric architecture only works if its design is sound. Several parts work together to make it possible. 

The Integration Layer 

This part connects all your disparate data sources, no matter their format or where they’re stored. Legacy systems, hybrid clouds, and modern cloud services all link through this integration layer. You can use different integration styles like real-time streaming, batch, or API connections. 

Getting the architecture right from the start is important. When you work with data architecture consulting, you usually see improvements in how easy it is to get to your information. 

The Semantic Layer 

On top of integration sits the semantic layer. This creates a common language for your data. It turns technical terms into plain business language, so everyone understands. 

Semantic knowledge graphs inside this layer show how different data elements relate. This helps artificial intelligence and machine learning models find context and connections you’d likely miss otherwise. 

The Access Control Framework 

This is where security and governance live. Advanced security protocols keep sensitive information safe, but still let the right people in. 

The access control framework tracks who does what, manages metadata, and makes sure you meet regulatory requirements. It’s the guardrail system for your data. 

Core Components of Data Fabric Technology 

Every part of a data fabric serves a purpose. When these key components work together, they create a strong foundation. 

Data Catalog and Discovery 

• Lists every data asset 
• Searchable across even massive datasets 
• Shows how data relates to each other 
• Enables Self-Service Analytics for everyone 

Real-Time Processing Engine 

• Handles streaming data from IoT and other sources 
• Works with complex datasets without slowing down 
• Supports real-time analytics and real-time dashboards 
• Manages both structured and unstructured data 

Governance and Compliance Module 

• Keeps data quality standards high 
• Logs every attempt at unauthorized access 
• Maintains audit trails for compliance 
• Implements access control based on user role 

Analytics and Intelligence Platform 

• Runs predictive analytics and machine learning models 
• Delivers actionable insights from disparate sources 
• Supports Business Intelligence reporting 
• Detects anomalies in operations 

A strong governance framework is needed for these pieces to work well together. This is why data governance consulting is often part of any data fabric project. 

Data Fabric Implementation Process 

Getting a data fabric in place is a step-by-step process. Each phase builds on the last. 

Assessment and Planning Phase 

Start by looking at your current data landscape. Identify your disparate systems and how data moves, then map out integration styles. This reveals gaps, security weak spots, and areas where data quality is off. 

Once you know what you have, set clear goals, pick success measures, and lay out a roadmap. Check your hybrid environments and pick the right fabric technology stack for your needs. 

Foundation Building Phase 

Next, set up the basics. Build the abstraction layer, connect source systems, and set up your semantic model. This controls how data is related and governed. 

Technical decisions here can get complex. Many find it useful to have professional help to make sure their solution is scalable from day one. 

Integration and Testing Phase 

Now, real data flows through the system. You check that everything integrates as planned and that your unified data model actually delivers correct results. 

Testing covers speed, security, and the accuracy of real-time data processing. Any problems are fixed before things go live. 

Deployment and Optimization Phase 

Finally, roll out the finished solution to users. Monitor how it works and collect feedback. Adjust settings and configurations as needs change or as you learn more. 

Ongoing tweaks make sure your fabric solution keeps adding value as your data grows and business needs shift. 

Microsoft Fabric Implementation as Data Fabric in Action 

Microsoft has built a platform that puts data fabric into practice. Microsoft Fabric brings together Power BI, Azure Data Lake Storage, Synapse Analytics, and Data Factory. This creates a single environment. 

Managing multiple tools used to be hard. With Microsoft data fabric, you remove that complexity. Teams get both stronger operational and analytical abilities. 

When companies use Microsoft Fabric, some see a 379% ROI over three years. Data engineering teams report productivity gains of 25%. Time spent searching for or integrating data drops by 90%. The SaaS model means less time on infrastructure and more on generating valuable insights. 

If you want to get the most out of Microsoft Fabric, expert consulting helps you set things up for faster results. 

Data Fabric Examples Across Industries 

Real-world use cases show how data fabric changes things. 

Financial Services Transformation 

A large bank put all customer data from 47 systems into one data fabric architecture. This gave them a full customer 360 view. Personalizing services got easier. Fraud detection time dropped from hours to seconds. 

They removed data silos, improved regulatory reporting accuracy by 94%, and saw customer satisfaction rise by 23%. Product recommendations became more relevant. 

Healthcare Data Unification 

A healthcare network linked patient records, devices, and research databases through its data fabric implementation. Now, doctors see full patient histories instantly, regardless of location. 

The system processes real-time data from monitors and alerts staff before problems get serious. Treatment results went up 18% while admin costs fell 31%. 

Manufacturing Intelligence 

An automotive company combined IoT sensor data, supply chain information, and quality systems. Their unified platform predicts equipment failures three days in advance. 

Production efficiency went up 28%, unplanned downtime dropped by 67%, and the company saves about $2.3 million per year thanks to predictive analytics. 

Data Fabric vs Data Mesh 

These two ideas both solve data challenges but in different ways. 

A data mesh puts each business domain in charge of its own data products. Teams handle quality, accessibility, and governance for their own data sets. 

Data fabric keeps management centralized. One unified platform hides complexity for users and provides consistent capabilities. This makes it easier to keep control and ensure governance. 

For most companies, data fabric is quicker to put in place and less complex to manage, especially if you don’t have big technical teams. 

Data Fabric vs Data Lake 

A data lake stores raw information as is. You need to process it before you can use it. Data fabric works differently. It makes stored information ready to use right away. 

Data lakes are cheap for storing massive datasets but not good for real-time access. Data fabric sits on top of storage systems, handling data prep, quality checks, and format changes automatically. You can query information as if it’s all in one optimized database. 

Combining the two, sometimes called a data lakehouse, gives you the storage cost benefits of data lakes and the real-time access of data fabric architecture. 

Why Data Fabrics are Important for Modern Business 

Businesses are under pressure to manage information across hybrid environments and deliver faster time to insight. Old methods can’t keep up. 

Faster Decision Making 

Leaders need current, accurate data to make quick decisions. Data fabric brings real-time insights by removing delays in data prep and integration. Teams can see live dashboards that update continuously. 

Better Operational Efficiency 

Manual integration eats up resources and causes errors. Automated fabric solutions take care of this work, freeing staff for higher-value tasks. After putting in a full data fabric architecture, organizations see 40% faster development cycles for analytics projects. 

Improved Data Quality and Trust 

When data is inconsistent, trust drops. Data fabric keeps quality high and shows where every piece of data came from. Teams know they can trust the information. 

Competitive Advantage Through AI 

Artificial intelligence and machine learning need high-quality, integrated data. Data fabric is the foundation for these projects. It lets you deploy machine learning models 67% faster. Visualizing unified data with professional dashboards turns complex analysis into clear, actionable insights. 

Common Data Fabric Use Cases 

Some common applications make the benefits of fabric architecture obvious. 

Customer 360 Views 

Bringing together transaction history, support records, marketing data, and behavior from different places builds a complete customer profile. Data fabric keeps these profiles up to date in real-time. Sales and support teams always see the full context. 

Supply Chain Optimization 

Supply chains create loads of data from suppliers, logistics, inventory, and forecasting systems. Data fabric lets you see across the network and act before problems get big. Inventory adjusts based on real-time demand, not old averages. 

Regulatory Compliance 

Industries like finance and healthcare need solid governance and audit trails. Data fabric tracks data lineage, keeps access control tight, and automates required reporting. Compliance teams get what they need right away. 

IoT and Operational Intelligence 

Factories, smart buildings, and vehicles send a constant stream of sensor data. Data fabric processes this in real-time and keeps historical context too. Maintenance teams get alerts before equipment fails, and energy systems adjust on the fly. 

The Future of Data Fabric Technology 

Data fabric is getting smarter. Artificial intelligence will soon help architectures adjust themselves with no human help. Edge computing will extend benefits to remote sites and mobile devices. Security will get stronger with zero-trust approaches. 

Companies that put a strong data fabric in place now will be ready for these advances. As AI-powered analytics become more important, having unified data access is no longer a luxury. It’s essential for staying competitive. 

Conclusion 

A data fabric bridges the gap between scattered data and business intelligence. Companies that use this approach get faster insights, better efficiency, and stronger decision making. This changes how they serve customers and run their operations. 

Now, all this data holds tremendous potential to transform patient care and power new innovations. But healthcare organizations are struggling under the weight of this flood of complex, siloed data. How can they hope to manage it all, let alone analyze it for insights? 

Microsoft Fabric for Healthcare, now HIPAA compliant as of February 2024, provides a unified cloud-based platform tailor-made for healthcare data analytics. With stringent privacy and security standards, Microsoft Fabric assures customers their data is protected according to industry best practices.  

In this post, we’ll explore how this HIPAA-compliant Microsoft Fabric for Healthcare can help healthcare organizations finally harness the power of their data to revolutionize medicine and improve patient outcomes in a secure manner. 

Ready to unlock the potential of your healthcare data with Microsoft Fabric for Healthcare? Let’s dive in. 

The Healthcare Data Explosion

Healthcare organizations are faced with an explosion of data coming from a proliferating array of sources. By some estimates, healthcare data is being produced at a rate of 36% compound growth annually, projected to reach the zettabyte scale in the near future. This data comes from sources including: 

• Electronic Health Records (EHRs) 

• Medical imaging systems like X-rays, CT scans, and MRIs 

• Clinical trials and medical research 

• Genomics and multi-omics datasets 

• Wearables, remote monitoring devices, and medical IoT 

• Administrative, operational, and financial data 

• Public health and population health records 

Managing and deriving value from such massive, varied, and siloed data presents a huge challenge. Most healthcare organizations struggle just to store and process their data, let alone analyze it for meaningful insights to improve patient care and outcomes. Up to 90% of healthcare data can reside in inaccessible silos. 

Microsoft Fabric for Healthcare aims to solve this by unifying healthcare data and making it usable. With its secure data lake capabilities and suite of analytics tools, Microsoft Fabric finally enables healthcare organizations to tap into the power of their data. Key capabilities include: 

• Ingesting and consolidating data from across modalities and standards like FHIR, DICOM, and OMOP 

• Applying AI and analytics to extract insights from unstructured data 

• Enabling collaboration and controlled sharing of de-identified data 

• Reducing storage costs while maintaining regulatory compliance 

With Microsoft Fabric, healthcare providers can achieve the promise of data-driven medicine – leveraging their full data assets to drive better care, research, and outcomes for every patient. 

Challenges with Healthcare Data

Healthcare data presents immense obstacles due to its sheer volume and complexity. As industry experts state, the industry is moving from digitization to an era of “datafication”. 

While the average cost of a data breach is $4.45 million across industries, healthcare suffers a staggering average of $10.93 million per breach according to IBM. This highlights the need for robust data security. 

Variety poses a major challenge – data comes from diverse sources like medical records, prescriptions, and test reports, in different formats. Integrating this data is difficult without a unified platform like Microsoft Fabric’s OneLake data store. 

Velocity also hampers healthcare, as new data is produced continuously at high speeds. Real-time analytics enabled by Fabric’s AI and machine learning is key to leveraging this data. 

Veracity, or reliability of data, varies greatly in healthcare. Fabric provides advanced data quality tools to enable validation and cleaning. 

Strict privacy requirements must be met, requiring deidentification and controlled access. Fabric ensures regulatory compliance and security via encryption, controlled access and Purview’s auditing. 

Sophisticated techniques like predictive analytics and AI/machine learning are essential for accurate analysis and forecasting. Fabric is purpose-built for such advanced analytics. 

The costs of legacy infrastructure cannot scale to meet healthcare’s vast data needs. Fabric’s unified platform reduces costs by consolidating systems while remaining flexible and scalable. 

By 2030, healthcare analytics is projected to reach $50 billion, demonstrating the industry’s data challenges and urgent need for modern data platforms like Microsoft Fabric that address these multifaceted healthcare data obstacles. 

Microsoft Fabric: A Unified Data Platform for Healthcare

Microsoft Fabric delivers a cloud-based platform that addresses the unique challenges of healthcare data head-on. It provides: 

• Scalable and elastic storage – Store any amount of data efficiently. Add storage as needs grow. 

• High performance – Query and analyze huge datasets in seconds. 

• Unified architecture – Integrate siloed systems into a cohesive data ecosystem. 

• Real-time insights – Analyze streaming data to monitor and take immediate action. 

• AI and advanced analytics – Apply techniques like machine learning out of the box. 

• granular Security – Fine-grained access controls and encryption safeguard data. 

• Regulatory compliance – Adhere to regulations like HIPAA with built-in auditing. 

• Flexible pricing – Pay only for the resources used with transparent pricing. 

With Fabric, healthcare organizations can break down data siloes, apply cutting-edge analytics, and extract value from their data efficiently and securely, all from a unified platform. 

Core Capabilities of Microsoft Fabric for Healthcare

Microsoft Fabric for Healthcare brings together best-in-class Azure services into an integrated environment for data and analytics. Let’s look at some of its key capabilities: 

• Data integration – Seamlessly ingest data from diverse sources, both on-premises and cloud-based. 

• Data warehousing – Implement high-performance warehousing for advanced analytics and insights. 

• Big data processing – Distributed processing of huge datasets using Azure Synapse Analytics. 

• Data lakes – Scalable, secure data lakes for Structured, unstructured and semi-structured data. 

• Real-time analytics – Analyze and act on streaming and IoT data as it arrives. 

• Business intelligence – Visually explore data and share insights using Power BI. 

• Artificial intelligence – Apply techniques like machine learning, computer vision, and natural language processing. 

• Security and compliance – Safeguard data via encryption, access controls, role-based access, and auditing. 

This integrated set of capabilities enables healthcare organizations to go from data to insights faster, with lower complexity. Multiple Azure services work together seamlessly so you spend less time and effort on data wrangling, which is one of the Benefits of Microsoft Fabric for Healthcare. 

HIPAA Compliance in Microsoft Fabric for Healthcare

For organizations handling protected health information (PHI), HIPAA compliance is mandatory. Microsoft Fabric for Healthcare simplifies compliance by implementing rigorous security and privacy controls aligned to HIPAA and other healthcare regulations out of the box. 

Specific compliance capabilities include: 

• Encryption of data at rest and in transit using AES 256-bit encryption and TLS 1.2. 

• Granular role-based access control (RBAC) to restrict data access. 

• Independent auditing and logging of access and changes to PHI. 

• Data de-identification tools to anonymize sensitive fields like patient names. 

• Infrastructure vulnerability scanning and penetration testing. 

• Backups and disaster recovery provisions to ensure availability. 

• Formal agreements detailing protections and liability. 

With these controls, healthcare organizations can avoid the complexity of building compliant data infrastructure themselves, which is one of the Benefits of Microsoft Fabric for Healthcare. Microsoft Fabric for Healthcare is audited regularly to ensure ongoing alignment with the latest privacy and healthcare data regulations. 

Enhancing Clinical Trials with Microsoft Fabric for Healthcare

Clinical trials are lengthy and expensive undertakings. It typically takes over 6 years for a drug to go from entering clinical trials to approval. Trial costs can surpass $100 million. 

By enhancing how trial data is managed and analyzed, Microsoft Fabric for Healthcare can accelerate trials and lower costs: 

• High-performance analytics – Query huge datasets from multi-center trials in seconds vs. hours. 

• Real-time insights – Monitor trial progress and spot trends as data is generated. Quickly adjust trial parameters. 

• Operational efficiency – Automate manual reporting and analysis tasks using AI. 

• Patient matching – Identify eligible candidates faster using analytics and datasets like FHIR. 

• Data quality – Clean, validate, and standardize trial data in real-time during ingest. 

• Collaboration – Enable researchers to simultaneously access and analyze trial data. 

Overall, Microsoft Fabric for Healthcare can help compress trial timelines, reduce operational costs, and speed up analysis cycles to improve trial outcomes, which is one of the Benefits of Microsoft Fabric for Healthcare. 

Transforming Patient Care with Better Insights

Microsoft Fabric for Healthcare holds great promise to enhance clinical decision-making and improve patient care through data-driven insights. Possible use cases include: 

• Patient profiling – Create 360-degree profiles by combining clinical data with demographic, genomic, and social determinants data. 

• Precision medicine – Match patients to tailored therapies based on integrated health history analytics. 

• Predictive care – Forecast clinical risks in chronic disease patients using AI and multi-parameter analytics. 

• Clinical decision support – Surface relevant medical guidelines and scientific literature at point of care through analytics. 

• Population health – Gain insights from public health, environmental, and socioeconomic datasets to improve community health. 

By aggregating more data sources into a unified view, care providers can deliver personalized, proactive, and evidence-based care optimized to each patient’s needs. This is the future of data-driven medicine, enabled by Microsoft Fabric for Healthcare. The benefits of Microsoft Fabric for Healthcare are clear: better patient outcomes, improved care delivery, and enhanced research capabilities. 

Revolutionizing Healthcare Operations

Beyond care delivery and research, Microsoft Fabric for Healthcare also enables healthcare organizations to enhance business operations through better utilization of data. Use cases include: 

• Predictive asset maintenance – Analyze IoT data from medical equipment to predict failures before they occur. 

• Supply chain optimization – Leverage logistics data to predict demand, prevent shortages, and reduce costs. 

• Workflow automation – Standardize and automate workflows like billing and claims processing to boost efficiency. 

• Patient self-service – Create portals with self-service access to medical records, appointments, and physician communication. 

• Sentiment analysis – Monitor and analyze patient feedback and online reviews to improve services. 

• Healthcare fraud detection – Detect fraudulent claims and transactions using AI and anomaly detection. 

The breadth of potential operational enhancements highlights the pervasive impact data and analytics can have across healthcare organizations, made possible by Microsoft Fabric for Healthcare. The benefits of Microsoft Fabric for Healthcare extend beyond care delivery to improve operational efficiency and reduce costs. 

Unlocking Innovation with Healthcare Data Platforms

As the examples above demonstrate, Microsoft Fabric for Healthcare provides a foundation on which healthcare and life sciences organizations can build data-driven innovations and remake processes. By bringing Azure’s analytics capabilities together into a unified, scalable, and secure platform, Fabric makes it faster to gain insights from data. This in turn accelerates research, enhances efficiency, and improves patient outcomes across the healthcare value chain. The benefits of Microsoft Fabric for Healthcare are evident in the ability to drive innovation and improve care delivery. 

Organizations like UPMC have already adopted Microsoft Fabric for Healthcare to transform healthcare: 

Use Case: UPMC 

UPMC (University of Pittsburgh Medical Center) is one of the leading academic medical centers in the US. To accelerate precision medicine, UPMC deployed Microsoft Fabric for Healthcare to create a multi-modal data platform bringing together clinical, imaging, pathology, molecular, and outcomes data on a single platform. 

Researchers at UPMC can now carry out integrated analysis encompassing multiple data types rapidly. This leads to faster discovery of new correlations, biomarkers, and pathways to inform diagnosis and treatment. Disease progression modeling is also accelerated using Fabric’s analytics capabilities. 

Overall, Microsoft Fabric for Healthcare enables UPMC to deliver on its vision of maximizing health data’s impact. Working together with Microsoft, UPMC continues to identify new ways to apply Fabric’s capabilities to drive cutting-edge research. The benefits of Microsoft Fabric for Healthcare are clear in UPMC’s success story. 

By adopting solutions like Microsoft Fabric for Healthcare, leading healthcare organizations are setting the pace for data-driven digital transformation in the industry. You can know more use cases here. 

How Beyond Intranet Can Help Your Healthcare Facility

We know the healthcare industry produces staggering amounts of data each day – everything from electronic health records (EHRs) to medical imaging data and genomic sequences. We also know that Microsoft Fabric for Healthcare can help make the most of this data. But without a guide, that can seem a bit tricky. Maybe, you will leverage one aspect, but miss out on another. This is where Beyond Intranet can help. 

As Microsoft’s solution partner, we provide exclusive access to Microsoft Fabric for Healthcare, a unified analytics platform tailor-made for healthcare. 

Our Microsoft specialists have 17+ years implementing data solutions for enterprise clients. We deliver workshops to transfer Fabric knowledge across your teams. Plus, we customize implementation for your unique needs and provide full lifecycle support. 

Key benefits our Microsoft Fabric for Healthcare consulting provides healthcare organizations:

1. Consolidate siloed systems into unified architecture 
2. Accelerate transition to scalable data infrastructure 
3. Mitigate risks with experienced guidance 
4. Transfer knowledge via hands-on workshops 
5. Get custom strategy aligned to your goals 
6. Simplify your analytics ecosystem 

Let our Microsoft Fabric for Healthcare experts help you finally harness your healthcare data and turn it into strategic insights. Contact Beyond Intranet today to schedule a free consultation. 

If so, you need a Power BI developer. 

Power BI is the future for data-driven businesses. But realizing its full potential requires specialized expertise. A Power BI developer has the technical skills and strategic vision to transform scattered data into streamlined, actionable insights. 

In this post, we’ll explore how a Power BI developer can be a total game-changer for organizations seeking to: 

• Quickly and easily get up and running with Power BI 
• Create robust dashboards, reports and visualizations with Power BI developer 
• Develop a long-term strategy to become truly data-driven 

Whether you’re a marketer, analyst, or CEO, a Power BI developer fills in the missing puzzle pieces to help you finally: 

• Gain control over unwieldy data 
• Unlock deeper insights from analytics 
• Build an organization-wide data culture 

Overwhelmed by Data? A Power BI Developer Can Help You Gain Control

For marketing managers, the amount of sales and campaign data contained in scattered Excel sheets can be staggering. While Power BI offers a way to corral all that data into a centralized, visual dashboard, the thought of learning a new platform can be paralyzing. 

This is where the expertise of a Power BI developer brings immediate relief. 

What is Power BI Developer?

A Power BI developer is a data visualization specialist who knows the ins and outs of the Power BI platform. Their specialized skills include: 

• Connecting to data sources – A Power BI developer can pull in data from virtually anywhere. Whether it’s Excel, databases, websites, or cloud apps. This consolidates scattered information into one place. 
• Data modeling – They structure data for optimal visualization and performance in Power BI. This allows for fast queries and mashups. 
• Building reports and dashboards – Using visualizations like charts, graphs, and maps, they turn raw data into insightful reports and dashboards tailored to your needs. 
• DAX and Power Query – Developers use these languages to transform source data and create new calculated fields and metrics for analysis. 
• Integration and automation – They can embed dashboards into your apps and websites, automate refreshes and notifications, and integrate Power BI with other tools.  

How a Power BI Developer Saves You Time and Energy

Marketing managers no longer need to spend long hours each week manually creating reports in Excel. With a Power BI developer, you can have highly visual, automated dashboards built for you in no time. 

Rather than struggling through the learning curve of Power BI on your own, you can rely on the developer’s expertise to build your dashboards quickly using the right data models and optimal visualizations.

A developer can also show you the best practices for structuring your data in the future so the BI solution is scalable and sustainable with minimal maintenance. No more static Excel reports going stale each month!

Finally, the developer can train marketing managers and their team in interacting with the new dashboards so they get the hang of Power BI quickly. With the heavy lifting handled by the developer, the entire marketing staff can focus on uncovering those key performance insights.

Real-World Success Stories

• A mid-size retailer saw a 23% increase in campaign performance after partnering with a Power BI developer to create integrated dashboards for multi-channel data. 
• A healthcare organization reduced reporting times from 4 days to 4 hours by having a developer build automated Power BI reports for regional managers. 
• A manufacturer gained visibility into product defects and was able to reduce errors by 12% following their build-out of Power BI dashboards. 

Lean on a Power BI developer to eliminate data headaches and turn insights into action! 

Go Beyond Basic Data Analysis with a Power BI Expert

Analysts have great instincts when it comes to slicing and dicing data in Power BI. But they can only take their reports so far on their own. By teaming up with a Power BI developer, they can tap into advanced skill sets to take his data analysis to the next level. 

Unlocking the Full Capabilities of Power BI

After becoming well-versed in basic report building, analysts often hit the wall. They know there are more sophisticated visualizations, algorithms, and modeling techniques to leverage to find non-obvious insights – if only they knew how. 

A Power BI developer has an extensive toolkit that can take reports from simple to stellar. These include: 

Custom Visuals – Interactive visuals like heat maps, Sankey diagrams, and sparklines go beyond default options. 

DAX Formulas – Sophisticated DAX measures enhance data modeling and analytics. 

Decomposition Trees – Reveal anomalies and variances in time-series data. 

Advanced Analytics – Machine learning for forecasting, image recognition, natural language processing, and more. 

Performance Optimization – Improved query speeds, incremental refreshes, and aggregation. 

With a Power BI developer’s help, analysts can start utilizing these advanced features through hands-on training and working together to build comprehensive BI solutions. 

Achieving Data Reporting Goals with Expert Guidance

You might be aiming high when it comes to his data analysis goals. You want to uncover sales projections, find cross-selling opportunities in CRM data, and detect quality fluctuations in manufacturing lines – all using Power BI. 

This is beyond the abilities of most casual Power BI users. A developer brings the right strategic approach and technical know-how to turn your goals into reality: 

• Sales forecasting using time series and regression algorithms. 
• Customer segmentation for targeted cross-sell marketing. 
• Anomaly detection and correlation analysis for manufacturing. 

They can design tailored data models, building in advanced logic with DAX and data flows for efficient processing. Interactive reports then allow for easy drilling down into insights. 

You provide the business direction while the developer handles the heavy lifting to build his bespoke analysis solution. An unstoppable data-insights duo! 

Real-World Success Stories

• A financial services firm predicts risk and lending defaults with 75% accuracy thanks to a Power BI developer’s advanced forecasting model. 
• A retailer optimized supply chain algorithms in Power BI to reduce inventory costs by 5% annually. 
• A marketing agency gained a competitive edge by having a developer build a Power BI solution for ad performance analysis using natural language and image processing. 

Don’t settle for basic reporting and dashboards. A Power BI developer can take BI to the max! 

Become Truly Data-Driven with a Power BI Strategy and Execution Plan

As SME’s scale their business, they know insights from data analysis will be critical to smart decision making. While Excel band-aids worked initially, the SME’s team now needs a real BI solution to stay ahead. 

The problem is they don’t have the internal expertise yet to choose and implement the right BI tools across the organization. A Power BI developer can provide what’s missing – a long-term strategy and execution roadmap. 

Creating a Power BI Strategy for Your Business

To use BI to its full strategic potential, you need the right foundations and processes in place. A Power BI developer starts by assessing your business objectives, data resources, and team readiness. 

They determine key areas of opportunity, such as: 

• Data sources to integrate 
• Metrics and KPIs to track 
• Departments to involve 
• Additional tools or teams needed 

Then they design a BI strategy tailored for your organization and goals. This gives you a multi-year plan to become truly data-driven. 

The Power BI Implementation Roadmap

With a solid strategy in hand, it’s time to roll up sleeves and execute that plan. An experienced Power BI developer maps out all the steps needed – both technical and organizational – to make your BI vision a reality. 

The phased implementation roadmap will cover: 

Initial Proofs of Concept – Pilot projects with high business impact to demonstrate BI value. 

Centralizing Data – Combining data sources into a single model for connectivity. 

DAX and Data Flows – Implementing replicable DAX measures and transformations. 

Governance – Data security, access controls, and naming conventions. 

Training – Developing internal BI skills through training sessions. 

Maintenance Planning – Automating refreshes, monitoring, and ongoing enhancements. 

With each milestone met, your teams get closer to leveraging data independently. The developer transfers knowledge until they have full ownership. 

Achieving Sustainable, Data-Driven Success

With the help of a Power BI specialist, SMEs implemented an end-to-end BI solution tailored to their goals and abilities. 

Now, instead of instinctual thinking, decisions at every level are backed by data-driven insights. Teams across the company leverage Power BI daily to track KPIs, analyze trends, model scenarios, and optimize processes. 

This couldn’t have been accomplished without the developer’s strategic guidance and technical expertise. They built both a Power BI solution and an empowered, data-centric culture poised for long-term success. 

Real-World Success Stories 

• A fast-growth software company aligned teams around data-driven goals using a Power BI strategy Map and execution roadmap. 
• A multi-brand retailer rolled out Power BI company-wide in phases with the help of a developer consultant. Data accessibility led to a 2.3% increase in sales. 
• A marketing agency director shifted their culture to become insights-driven following the implementation of Power BI embedded throughout their operations. 

Don’t leave data strategy to chance. A Power BI developer brings the perfect mix of technical strength and strategic vision. 

Partner with Beyond Intranet for Your Complete Power BI Solution

Power BI developers from Beyond Intranet possess a rare mix of technical expertise and strategic perspective. They can provide end-to-end BI solutions tailored to any organization’s needs. 

By handling the full scope of BI solution design and implementation, Beyond Intranet’s Power BI specialists enable you and your teams to focus on deriving insights rather than getting bogged down in the technology. 

Our comprehensive Power BI solutions have helped leading organizations across industries: 

• Retail & Ecommerce  
• Software & SaaS 
• Financial Services 
• Manufacturing & Logistics 
• Marketing & Advertising 

Let us discuss how our Power BI developers can help you derive greater value from your data. 

What is Microsoft Fabric? 

Microsoft Fabric is a cloud-based data integration platform that empowers you to easily ingest, transform, integrate, and analyze data from disparate sources. With its user-friendly, no-code interface, Microsoft Fabric makes it simple to build scalable data solutions and leverage the power of your data.

Some key capabilities of Microsoft Fabric include: 

• Connecting to hundreds of data sources, both on-premises and in the cloud 
• Automating and orchestrating data movement and transformation 
• Integrating siloed data into a cohesive data estate 
• Enriching data with AI and machine learning 
• Building analytics, reporting, and business intelligence 
• Deploying data-driven solutions and applications 

With Microsoft Fabric, you get a centralized platform to manage your entire data lifecycle – from extraction to visualization. This eliminates data siloes and provides a “single source of truth” for business insights. 

Microsoft Fabric Use Cases & Applications 

We know what is Microsoft Fabric by now. But do we know that it is a versatile platform that can support a wide variety of data integration scenarios across industries and use cases. To know Microsoft Fabric use cases, here are some of the most common ways organizations leverage Microsoft Fabric: 

Manufacturing 

In manufacturing, here what is Microsoft Fabric used for. It can ingest sensor data from connected machines and production systems to provide operational visibility. Manufacturers can use analytics on this data to: 

• Optimize production performance 
• Enhance quality control 
• Improve supply chain management 
• Reduce equipment downtime 
• Calculate overall equipment effectiveness (OEE) 

By leveraging industrial IoT data with Microsoft Fabric, manufacturers can drive continuous improvement. 

Insurance 

For insurance companies, Microsoft Fabric use cases are very useful. It enables better risk assessment using analytical models on aggregated data. Insurers can gain customer insights to enhance pricing, underwriting and claims management. 

Non-Profit Organizations 

For non-profits, Microsoft Fabric can consolidate data from disparate sources like donors, volunteers, programs, finances, social media etc. Insights from this data help NPOs make better decisions on resource allocation, performance measurement and goal setting. 

Banking, Financial Services & Insurance (BFSI) 

In BFSI, one of Microsoft Fabric use cases is that it can generate insights for customer experience improvement, risk mitigation and identifying new revenue opportunities. Financial organizations can also use Fabric to meet regulatory compliance requirements. 

Logistics & Supply Chain 

Logistics companies can use Microsoft Fabric to extract value from data across the supply chain – inventory, warehousing, transportation, IoT sensor streams. This data can optimize routes, improve predictability, reduce costs, and enhance service levels. 

As we’ve seen, Microsoft Fabric use cases and applications of Microsoft Fabric are across domains. But where does this data come from? Let’s look at some industry-specific data sources. 

Data Sources for Industries

To make use of Microsoft Fabric, you first need access to relevant data sources. The tools and systems used by different industries provide the raw data that can fuel Fabric analytics. 

Manufacturing Data Sources 

In manufacturing, data resides in: 

• Sensors and control systems 
• Supervisory control and data acquisition (SCADA) 
• Manufacturing execution systems (MES) 
• Enterprise resource planning (ERP) systems 
• Quality management systems and testing equipment 
• Operator recordings and inputs 

By connecting these systems to Microsoft Fabric, manufacturers can extract production data for analysis. 

Insurance Data Sources 

For insurance companies, data comes from: 

• Policy administration systems 
• Claims management systems 
• Underwriting systems 
• Customer relationship management (CRM) tools 
• Billing and accounts systems 
• Actuarial databases 
• IoT telematics devices 

Bringing this data into Microsoft Fabric drives better risk insights. 

Non-Profit Data Sources 

For non-profits, data is generated from: 

• Donor records 
• Volunteer management systems 
• Program management systems 
• Financial systems 
• Social media analytics 
• Outreach and feedback 
• Public data sources 

Analyzing these sources with Microsoft Fabric provides insights to help NPOs fulfill their missions. 

BFSI Data Sources 

In banking, financial services, and insurance, key data comes from: 

• Core banking systems 
• Trading platforms 
• Portfolio management systems 
• Risk analytics databases 
• Customer account records 
• ATM and branch data 
• Market data feeds 
• News and social media sentiment 
• Regulatory filings and reports 

Fabric enables exploiting this wealth of BFSI data. 

Logistics Data Sources 

In logistics, data is produced by: 

• Enterprise resource planning (ERP) systems 
• Warehouse management systems (WMS) 
• Transportation management systems (TMS) 
• Global positioning systems (GPS) 
• IoT and telematics 
• Weather data feeds 
• Electronic logging devices (ELD) 
• Traffic and mapping data 

Microsoft Fabric can connect to these systems for supply chain insights. 

We’ve looked at some of the data sources common in different verticals. But how can we actually get this data into Microsoft Fabric? 

Integrating Data into Microsoft Fabric 

A key strength of Microsoft Fabric is its extensive connectivity to ingest data from diverse sources. Some ways to integrate data include: 

Using Native Connectors 

Microsoft Fabric provides hundreds of pre-built connectors to popular applications and databases. This includes connectors for: 

• SAP 
• Salesforce 
• Oracle 
• Dynamics 365 
• AWS S3 
• SQL Server 
• MySQL 
• Postgres 
• MongoDB 
• Databricks 

These native connectors make importing data seamless. 

Leveraging REST APIs 

For custom applications or unique data sources, Microsoft Fabric enables connecting via REST APIs. This provides flexibility to extract data from any platform exposing APIs. 

Loading Files 

For on-premises systems without direct connectivity, files and folders can be periodically loaded into Microsoft Fabric. This lets you leverage existing export capabilities. 

Streaming IoT Data 

Time-series data from IoT devices can be streamed into Microsoft Fabric using Event Hubs. This enables real-time analytics on sensor data. 

Pulling from Other Cloud Storage 

If data already resides in Azure Storage, AWS S3 etc., it can be directly accessed via linked services without copying. This avoids data duplication. 

As shown above, Microsoft Fabric is extremely versatile in ingesting data from diverse systems. Once data is available in Fabric, where is it stored? 

Storing Data in Microsoft Fabric 

Microsoft Fabric provides two main options for storing and analyzing data: 

Lakehouse – For Big Data 

The Lakehouse is best suited for “big data” use cases with large volumes of structured, semi-structured and unstructured data. It combines the flexibility of a data lake with analytical capabilities of a data warehouse. Data is stored in open Apache formats. 

Datamart – For Analytics 

Datamarts are used for analytical workloads that require a relational data warehouse optimized for performance. Data is stored in Azure Synapse dedicated SQL pools. 

Let’s look at some ways of loading data into Lakehouse and Datamarts: 

Direct Copy via Pipelines 

Data from source systems can be directly copied into Lakehouse or Datamarts using drag-and-drop pipelines in Microsoft Fabric. This is the easiest way for one-time data loads. 

Notebooks for Transformation 

For more complex ETL, Azure Databricks notebooks can be leveraged to transform data before loading into Lakehouse. This provides code-based data prep capabilities. 

Incremental Refresh 

Once full data is available in Lakehouse or Datamart, pipelines can be scheduled to refresh it incrementally. This ensures latest data is always available for analytics. 

Business User Uploads 

Data upload applications allow business users to easily upload data files through a simple interface. The data is stored securely in the Lakehouse. 

Creating Shortcuts 

Instead of copying data, shortcuts can be created to data already present in external storage. This provides unified data access. 

As we’ve seen, Microsoft Fabric offers great flexibility in how data is imported, stored, and prepared for analytics. What are some real-world examples of the business insights it enables? 

Building Analytics with Microsoft Fabric 

The true measure of any data solution is the business value it ultimately enables. With Microsoft Fabric, data can be turned into meaningful analytics to drive growth. Let’s look at examples for different functions: 

Supply Chain Analytics 

By connecting ERP, WMS, TMS and inventory data, Microsoft Fabric allows building dashboards showing: 

• Overall supply chain health 
• Inventory levels vs targets 
• Procurement analysis 
• Vendor performance 
• Logistics costs and trends 

These insights help optimize supply chain operations. 

Customer Analytics 

Linking customer data from CRM systems, websites, stores and other touchpoints enables fabric to produce analytics on: 

• Buyer journeys and sales funnels 
• Customer segment profiles 
• Churn and retention trends 
• Campaign effectiveness 
• Service channel performance 

This drives better customer engagement. 

Financial Analytics 

For finance teams, Microsoft Fabric can pull data from multiple accounting systems and ERPs into reports on: 

• Revenue performance 
• Cost and profitability 
• Variance analysis 
• Forecasting and projections 
• Budget vs. actuals 

These insights support strategic and operational decision making. 

Production Analytics 

By leveraging IoT and factory data, Microsoft Fabric allows creating analytics on: 

• Overall equipment effectiveness 
• Cycle times and throughput 
• Quality metrics and defects 
• Energy usage 
• Material consumption efficiency 

This enables continuous improvement initiatives. 

As shown above, actionable and impactful analytics can be built in Microsoft Fabric by blending data from all relevant sources. But Fabric doesn’t stop there… 

Unlocking More Value with Azure AI 

Microsoft Fabric allows going beyond traditional analytics by leveraging Azure AI and ML capabilities. Some ways to boost performance include: 

Using ML Models 

Predictive machine learning models built in Azure ML can be operationalized and integrated into Microsoft Fabric analytics. This enables scoring data for richer insights. 

Applying Cognitive Services 

Azure’s pre-built Cognitive Services like Vision, Language and Decision can be leveraged to enrich data. For example, extracting text from images or sentiment analysis on customer surveys. 

Embedding Power BI 

Reports and dashboards built in Power BI can be embedded into custom applications of Microsoft Fabric. This allows interactive analytics and data discovery. 

Enabling Advanced Analytics 

For data scientists, Azure Databricks allows running advanced analytics like machine learning, geospatial analysis, time series forecasting on Fabric data. 

By complementing its core ETL and BI capabilities with Azure AI, Microsoft Fabric enables building smarter, proactive and automated data solutions. 

Why Choose Microsoft Fabric? 

We’ve explored the key features and applications of Microsoft Fabric. But why should you choose it over alternatives for your data needs? Some key advantages include: 

• Comprehensive end-to-end capabilities encompassing integration, storage, reporting, ML and application development 
• Flexibility to handle diverse data types, sources and workloads 
• Cloud-native solution leveraging Azure scale, reliability and security 
• Code-free, visually designed solutions for rapid development 
• Enterprise-grade platform with extensive governance and administration 
• Deep Microsoft integration, including Azure Synapse, Power BI, and Dynamics 365 
• Massive ecosystem of Microsoft and third-party extensions 

For any enterprise looking to maximize the value of data, Microsoft Fabric provides the most versatile, scalable and future-proof solution. 

Driving Data-Powered Innovation with Microsoft Fabric 

Yes, MS Fabric consolidates data into one place. For analytics and insights. But Fabric is Complex if you try leveraging it alone. Many companies struggle to implement MS Fabric. And maximize its value. This is Where Beyond Key comes in. We are experts in Microsoft Azure Fabric. We make Fabric work for you. 

Beyond Intranet helps connect the dots via 

Certified Fabric Know-How 

Our team has deep knowledge of Fabric’s capabilities. 

Vendor-Agnostic Guidance 

We focus on your needs. Not any one vendor. 

Solutions Scaled to Your Business 

We help both young startups and large enterprises. 

Cost Optimization 

We find ways to cut costs. And get better pricing. 

Targeted Services 

Migration, performance, security, management. 

Let us guide your MS Fabric journey. We’re eager to listen and understand. How we can maximize Fabric’s value for you. And make your Fabric journey a success. Let’s start shaping your data-driven future together! 

To Sum Up 

Microsoft Fabric overcomes barriers with an end-to-end platform for data consolidation, preparation, enrichment, and governance. By making enterprise-grade data integration accessible to technical and non-technical users alike, Microsoft Fabric accelerates delivering data into the hands of those who need it most. 

With Microsoft Fabric and Beyond Key’s consultation, organizations across every industry can more easily leverage data to guide strategies, uncover opportunities, streamline operations, and exceed customer expectations.  

Want unified data to create breakthrough products, experiences and business models? 

Let us connect. 

Microsoft Fabric lays the data foundation for building the future.  

What is Tableau?

Tableau is a powerful data visualization and business intelligence tool that allows users to connect to various data sources, create interactive and shareable dashboards, and gain valuable insights. It enables individuals and organizations to analyze and visualize data in a user-friendly and it is designed to be easy to understand and use without needing a lot of extra explanation. It’s user-friendly and makes it easier to understand complex information and make informed decisions. Tableau supports a wide range of data sources, provides a variety of visualization options, and promotes a self-service analytics approach, allowing users to explore and interact with their data to discover meaningful patterns and trends. 

Key features of Tableau

User-Friendly Interface: Tableau is easy to use for both experienced data professionals and newcomers in analytics. It has a simple drag-and-drop feature that lets users create visualizations without needing advanced coding skills. This makes it quick to learn and encourages people in different roles to explore and understand data on their own. Whether you’re a data scientist or a business user, Tableau’s easy-to-use interface makes working with raw data enjoyable and straightforward, helping you uncover valuable insights. 

Data Connection: Tableau offers a wide range of data connections, allowing users to link to various data sources. Whether it’s databases, spreadsheets, or cloud-based data, Tableau provides strong connectivity options, making it versatile for diverse data environments. 

Drag and Drop Functionality: Tableau has a notable feature with its drag-and-drop functionality, with these features, users can effortlessly drag and drop data elements into the interface to create interactive and dynamic visualizations. This user-friendly approach simplifies the process of building insightful dashboards without the need for complex coding. 

Diverse Visualization Options: Tableau offers a diverse selection of visualization options, including charts, graphs, maps, and more. This diversity allows users to select the most effective way to represent their data, ensuring that insights are communicated clearly and effectively. 

Real-Time Analysis: Tableau makes real-time analysis easy. Users can analyze and visualize data in real-time, providing timely insights. This feature is priceless for organizations that require the latest information to make informed decisions. 

Collaborating and Sharing: Tableau promotes collaboration among teams by allowing users to share their visualizations and dashboards. Whether through Tableau Server or Tableau Online, team members can access and interact with shared insights, enabling a collaborative and data-driven decision-making culture. 

Advanced Analytics Integration: Organizations aiming for deeper insights can easily integrate Tableau with advanced analytics tools. This integration helps users to include statistical models, machine learning algorithms, and scripts in R or Python, enhancing the platform’s analytical capabilities. 

Security Features: Security is a top priority for Tableau. This platform offers strong security features to manage data and ensure the privacy of confidential information. Integration with existing authentication systems enhances overall data protection, making Tableau a secure and reliable solution for managing valuable business data. 

Mobile Accessibility: Tableau provides mobile accessibility through dedicated applications, allowing users to access and engage with visualizations seamlessly on smartphones and tablets. This feature helps users stay connected to valuable data insights, enabling on-the-go access to critical information.  

Types of Services

Tableau services offer a range of services, that help to create, share, and manage data visualizations. Tableau offers services as follows: 

Tableau Desktop: Tableau Desktop, is offered by Tableau, and serves as both an authoring and publishing tool. It helps users to create interactive and shareable data visualizations, dashboards, and reports. With Tableau Desktop, users can connect to various data sources, perform data analysis, and design impactful visualizations using a user-friendly drag-and-drop interface. 

Tableau Server: Tableau Server is an enterprise platform. It helps people work together and share Tableau content within an organization easily. It provides a centralized location for publishing & accessing Tableau dashboard reports. This makes it easy for everyone to work together and for the company to grow smoothly. 

Tableau Public: Tableau Public is a free version of Tableau that allows users to create, share, and explore visualizations with the public. Visualizations created with Tableau Public are stored on Tableau’s public servers and are accessible to anyone. 

Benefits Of Tableau Services 

Improved Decision Making: Tableau helps users transform complex data into useful information by creating easy-to-understand visualizations. This makes it easier for everyone to make better decision making across various domains, as data becomes easily understandable and accessible. 

Enhanced Operational Efficiency: Tableau makes it easy to analyze and report data, which helps organizations work better. People can quickly get important information, and this helps organizations make their processes better and improve using a data-driven approach. 

Enhanced Student Engagement: In schools, Tableau helps teachers connect with students using data. Teachers can look at how students are doing, find patterns, and make lessons more personalized. This makes learning more interesting for students and helps them do better in school. 

Data-Driven Innovation: Tableau helps to create a culture that uses data-driven innovations. Organizations can look at trends, find patterns, and discover insights that lead to creative solutions and strategies. This helps them stay competitive in fast-changing environments. 

Cost Savings: Using Tableau to analyze data smartly can save money. Organizations can find ways to do things better, use resources wisely, and make processes work more smoothly. This helps cut down on unnecessary spending and makes the overall financial performance better. 

Data Integration Tool: Tableau serves as a strong data integration tool, allowing users to connect to various data sources. It lets users connect to many data sources without any problems. This helps to provide a comprehensive view, supporting a more holistic decision-making approach. 

4 Tableau Use Cases

Unlock Deeper Customer Insights with Tableau 

Struggling with siloed, disjointed customer data? Tableau integrates data from across your business – sales, marketing, service, finance, etc. – for a unified 360 customer view. 

Tableau’s easy ad hoc analysis empowers anyone to uncover rich insights like changing behaviors and preferences. Unearth insights like: 

• Which customer segments drive the most revenue and churn the fastest? 
• How do customer journeys differ across channels? 
• Which marketing campaigns deliver the highest conversion at the lowest cost? 

Tableau makes it easy to create interactive dashboards with advanced visualizations. Showcase customer metrics and segments so everyone has visibility. Marketing optimizes engagement strategy. Sales pursues high-value targets. Service enhances experiences. 

With Tableau, you fully understand customers to offer personalized experiences. This strengthens engagement, satisfaction and loyalty. 

Boost Product Quality with Tableau 

• Connect Product and Machine Data for Insights 

Ingest sensor, machine, and operations data into Tableau for analysis. Get visibility into product performance spanning design, manufacturing, and usage. 

• Monitor Health and Usage in Real-time 

Create dashboards to track metrics like reliability, defects, usage patterns and more. Monitor products actively in the field to detect emerging issues. 

• Identify Anomalies and Predict Failures 

Leverage analytics capabilities to flag anomalies in data that point to potential product failures or degradation. Take proactive steps to address. 

• Inform Engineering and Manufacturing 

Share actionable intelligence with R&D, engineering and manufacturing teams. Rapidly diagnose root causes and continuously improve product quality and reliability. 

Accelerate Supply Chain Operations with Tableau

Supply chain data is complex. Inventory, logistics, vendors, partners…how do you connect the dots? Tableau ingests all this data for end-to-end visibility. 

Easily track KPIs like cycle times, on-time delivery, and costs with interactive dashboards. Drill into delays and bottlenecks. See where to optimize. 

Tableau enables predictive capabilities like forecasting demand, predicting risk, and simulating scenarios. Now you can model the impact of changes before implementing. 

Mobile analytics keeps supply chain teams connected. Execs have visibility from anywhere. Teams coordinate faster with data at their fingertips. 

Enhance Cybersecurity with Tableau

• Ingest and Analyze Security Telemetry 

Connect security data from across IT environments. Network, endpoints, cloud, identities – get holistic visibility. 

• Detect Threats with Behavior Analytics 

Profile normal behavior to spot anomalies indicative of threats. Analyze patterns across users, devices, networks. 

• Accelerate Incident Response 

Create intuitive dashboards for security ops teams. Visually track threats and response processes. Add context to incidents. 

• Tighten Security Across Hybrid Environments 

Monitor on-prem, cloud, and hybrid deployments. Quickly uncover hidden gaps and vulnerabilities. Tighten policies, controls, and configurations. 

With Tableau, your business becomes proactive. You sense demand shifts, risks, and disruptions faster. This means responding swiftly to demand and changes. The result? Faster, leaner, operations. 

How Beyond Intranet Helps With Tableau For You 

Amazing use cases. But are you struggling to realize Tableau’s full potential? Our Tableau experts guide you to success. We architect fully customized solutions tailored to your needs, unifying siloed data for complete visibility.  

Our consultants optimize performance, fine-tuning speed and efficiency. We simplify deployment and onboarding, enabling intuitive self-service analytics. With decades of collective experience, we implement best practices for data security, governance and agile development.  

Our breadth of technical expertise equips us to integrate Tableau into your existing tech stack for greater capabilities.  

Partner with Beyond Intranet- together we’ll maximize your Tableau ROI and become a data-driven organization. 

Wrapping Up 

Tableau delivers transformative capabilities for data-driven innovation and decision making. To fully harness its power, partner with Tableau specialists like Beyond Intranet. Our experts help you architect, implement, integrate and optimize Tableau to extract maximum value from your data.  

Let us guide you on the journey to becoming an insights-driven business. 

Dashboard consulting lights up your path with data. It’s like your business flashlight. Dashboard consulting services help you make sense of data. Like a skilled guide, a dashboard consultant leads you through the data maze. With tools like Microsoft Power BI dashboard development, these services shine a light on crucial insights.

Whether it’s dashboard reporting or crafting a consulting report, the goal is clarity. Dashboard companies aim to simplify and enlighten. It’s about making data your ally, not your obstacle.

Ready to light up your business maze? 

Visualizing Data: The Heart of Understanding 

Data visualization is critical. A study by MIT found that our brains can process images in as little as 13 milliseconds. When we see data visually, we understand faster. We spot trends, see patterns, make connections. Data becomes insight.
Here’s an example to understand better. Imagine a warehouse full of boxes. Each box holds a puzzle piece. But the pieces are scattered, hidden. That’s your business data. Without organization, it’s a mess. But what if all the pieces were laid out, forming a clear picture? That’s data visualization. 

Dashboard Consulting: The Art of Visualization 

This is where dashboard consulting shines. It turns messy boxes into clear pictures. Consultants use tools like Microsoft Power BI to create these pictures. They’re like artists, but their paint is data, their canvas is your dashboard. 

Reporting Made Easy 

Dashboard reporting doesn’t have to be complex. A good dashboard tells a story. It shows where you’ve been, where you are, and where you’re going. Dashboard consulting services help craft this story. They turn raw data into a clear narrative. 

Dashboard Companies: Your Guides 

Navigating the data landscape can be tricky. Dashboard companies are your guides. They help you understand your data, make sense of it. They are the bridge between data and decision.

Reports That Matter 

A consulting report isn’t just a document. It’s a compass. It directs your business, helps you make informed choices. With a dashboard consultant, your report becomes a powerful tool. 

When it’s about your business, every piece of data matters. Dashboard consulting turns these pieces into a clear, insightful picture. It’s about making data work for you. 

Dashboard Consulting: The Need of the Hour 

Its 2023. And Businesses without dashboard consulting are like that ship. They’re sailing blind. 

Data Overload: The Modern Challenge 

Every day, your business generates tons of data. According to IBM, 90% of the data in the world today has been created in the last two years alone. It’s like a flood. And without the right tools, it’s easy to drown. 

Navigating the Data Flood 

Here’s where dashboard consulting steps in. It’s like a lifeboat in the data flood. Dashboard consultants use tools, like Microsoft Power BI, to navigate this flood. They turn overwhelming data into manageable, actionable insights. 

The Power of Proper Reporting 

Dashboard reporting is more than just charts and graphs. It’s about seeing the story behind the data. A good consulting report is like a roadmap. It shows where you are, where you should go, and how to get there. Dashboard consulting services help create this roadmap. 

Why Choose Dashboard Companies? 

Dashboard companies are like seasoned sailors. They know how to navigate the data sea. They help you make sense of the data flood, turning it into a useful resource. 

Running a business without dashboard consulting is like sailing without a compass. Don’t risk getting lost in the data sea. Opt for Power Bi consulting services. Steer your business in the right direction. 

Dashboards: The Control Center of Your Business 

Imagine a cockpit. It’s full of gauges, dials, and screens. It shows the pilot what’s up. That’s what a dashboard is for your business. It’s your control center.

Tracking Performance: The Dashboard Magic 

Dashboards are magic mirrors. They reflect your business in real-time. They track performance. They show where you’re strong, where you’re weak. And with dashboard consulting, this mirror becomes even clearer. 

Optimizing with Insights: The Power of Dashboards 

A dashboard isn’t just a mirror. It’s also a guide. It helps you optimize performance. It shows where you can do better. Dashboard consulting services use tools like Microsoft Power BI to pull these insights. 

Reporting That Makes Sense 

Dashboard reporting isn’t just data. It’s understanding. It’s clarity. A good consulting report shows you the way forward. It’s your business roadmap. And dashboard consultants are the mapmakers. 

The Role of Dashboard Companies 

Dashboard companies are your co-pilots. They help steer your business. They read the gauges, and understand the dials. With their help, your dashboard becomes a powerful tool. 

The Dashboard Advantage 

With dashboard consulting, your business cockpit becomes clearer. You see where to fly higher, where to steer clear. You get a control center that truly controls. You get a dashboard that works for you. 

Don’t just fly. Soar. With dashboard consulting, take your business to new heights. 

Advantages of Dashboard Consulting: A Game Changer 

Dashboard consulting is like a secret weapon. It gives your business an edge. Here’s how: 

1. Clear Vision:
   Dashboard consulting helps you see clearly. It’s like cleaning a dirty window. Suddenly, everything is clear. You see your business as it is.
2. Smart Decisions:
   With clear vision comes smart decisions. Dashboard consultants help you understand data. They guide your choices. They make your decisions data-driven.
3. Effective Reporting:
   A good dashboard tells a story. Dashboard reporting consulting helps craft this story. It’s like a book. Each page, each chapter, guides your business.
4. Time-Saving:
   Time is money. Dashboard consulting services save you both. They simplify data. They make it easy to understand. You save time, you save resources. 
5. Expertise:
   Dashboard consultants are experts. They know the tools, like Microsoft Power BI. They know the methods. They bring their expertise to your business.
6. Custom Solutions:
   Every business is unique. Dashboard consulting services understand this. They offer custom solutions. They tailor their services to fit your needs.
7. Insightful Reports:
   A consulting report is more than data. It’s insight. It’s understanding. With dashboard consulting, your reports become insightful.
8. Trusted Guides:
   Dashboard companies are your trusted guides. They navigate the data landscape for you. They lead you to insights.

Dashboard consulting offers real advantages. It’s a game-changer. It takes your business from good to great. Don’t just play the game, win it. 

Spotlight on Dashboard Examples: Tools for Every Trade

Dashboards are like tools. Different jobs need different tools. Here’s a look at some Power BI dashboard examples:

HR Dashboard:

People are your biggest asset. HR dashboards help manage this asset. They track employee performance. They monitor engagement. With dashboard consulting, your HR dashboard becomes a powerful tool in employee management.

Insurance Dashboard:

Insurance can be complex. There are policies. There are claims. An insurance dashboard helps simplify this. It tracks policies. It monitors claims. Dashboard consulting can streamline your insurance management process.

Financial Dashboard:

Money matters. A financial dashboard helps manage it. It tracks income. It monitors spending. It aids in fiscal planning and control. And with dashboard consulting services, your financial dashboard becomes even more powerful. 

Marketing Dashboard:

Marketing is vital. A marketing dashboard is your marketing control center. It tracks campaigns. It studies customer behavior. With dashboard consulting, your marketing dashboard becomes a key tool in your marketing strategy.

Sales Dashboard:

Sales are the lifeblood of your business. A sales dashboard monitors this lifeblood. It tracks sales performance. It spots sales trends. And with dashboard consulting, your sales dashboard becomes a powerful ally in your sales strategy.

Different jobs, different dashboards. But with dashboard consulting, every dashboard becomes a powerful tool. It’s like having the right tool for every job.

Top Dashboard Tools: The Best Picks 

Choosing a tool can be tough. But don’t worry, we have some top picks: 

Power BI:

Microsoft Power BI is like a dashboard wizard. It crafts detailed dashboards. It pulls data from everywhere. It’s powerful and versatile. With Power BI dashboard development consulting services, this wizard becomes a master. 

Tableau:

Tableau is all about interaction. It makes dashboards fun. You can touch, feel, and play with data. It’s a playground for insights. And with dashboard consulting, this playground becomes a goldmine of insights. 

Domo:

Domo is about simplicity. It makes dashboards easy. It’s user-friendly. It’s intuitive. It’s quick. It’s perfect for those who need simplicity. And with dashboard consulting, Domo becomes even more powerful. 

Different tools, different strengths. But no matter the tool, dashboard consulting enhances it. It’s like a supercharger. It boosts performance. It maximizes results. 

Choose your tool. Get dashboard consulting. Supercharge your business. 

Beyond Intranet’s Magic Touch 

Think of us as your dashboard wizard. We at Beyond Intranet offer expert dashboard consulting. Our magic? We understand your needs. We tailor our services to you. 

We’ve helped many businesses. Like a US-based manufacturing company. They needed a sales dashboard. We crafted it. Result? Their sales skyrocketed. 

Or a Canadian-based organization. They wanted an HR dashboard. We built it. Now, their employee management is a breeze. 

Every business has a story. We help write yours. With Beyond Intranet’s dashboard consulting, your story becomes a success. 

Wrapping Up 

Your business deserves the best. And the best tool is a dashboard. It’s your control center. It’s your guide. It’s your success story. And with dashboard consulting, this story becomes even better.  

Don’t just do business. Excel at it. With dashboard consulting, take your business to the next level.
Let’s start your success story today. Contact Us

1. Meaning of Power BI and Power Query

 Data is no longer just a buzzword. We live in a data-driven world, and if you know how to interpret and use data in your organization, it can make all the difference. Power BI and Power Query are good tools for this, which you can integrate into your workplace. First, let us see what Power BI is and how you can use it to your advantage within your workspace, regardless of your role within your organization. Power BI is a group of software services, apps, and connectors that combine to turn your unconnected data sources into readable, visually immersive, and interactive insights.

 The data may be an Excel spreadsheet or a gathering of cloud-based and on-premises data warehouses. Power BI lets us fluently connect to our data sources, fantasize and discover what is essential, and share that with anyone we want. 

The parts of Power BI 

Power BI consists of several rudiments that all work together, starting with these three basics 

• A Windows desktop operation called Power BI Desktop.
• An online (Software as a Service) service is called the Power BI service.
• Power BI mobile apps for Windows, iOS, and Android bias.

 Power Query is so awesome that it has been called the “best thing to happen to Excel in 20 years” by industry experts. Power Query is a data preparation and transformation engine. Power Query has a graphical interface for getting data from sources and a Power Query Editor for applying the change. Because the engine is available in numerous services and products, the destination where the data will be stored relies on where Power Query was used. Using Power Query, we can achieve the extract, transform, and load (ETL) processing of data. 

With that said, let us look at a detailed guide for Automating Excel reports. 

2. Step-by-step Instructions for Automation of Excel Reports 

• Produce a folder and store all the data lines that will supply data to the report in that folder. Each file must be proportional with respect to the others. Each file must have the exact number of columns and column heads, and the columns must be arranged in the same layout. 

• From the Data tab of the Ribbon, select Get Data and choose From File, From Excel as shown in Figure. 

• Choose the Excel Workbook folder that contains the files we wish to combine for detailing intentions. 
• Next, choose Combine & Load To… in order to begin the flow of combining the files and loading them into our report. 
• Click OK to proceed that we want to continue the process. 

• In the ensuring Import Data dialog box, select PivotTable Report as the endpoint for our combined data. 
• Next, Excel will give you the combined data in the PivotTable Field List. Create your PivotTable report by dragging fields from the Field List into the desired quadrants within the PivotTable to complete the first report creation process. Save the worksheet in which the PivotTable report is contained. 
• Next, store the file with the new data in the same folder as all prior months’ files when the new data becomes available. Then open the workbook that contains the PivotTable, right-click on it, and select Refresh from the menu. The PivotTable will update to include the newly updated data after we do so. 
• When fresh data becomes available, just place the file containing the new data in the same folder as all previous months’ files. Then open the PivotTable-containing worksheet, right-click it, and choose Refresh from the menu. After we do so, the PivotTable will update to include the newly updated data. After we build the initial report with Power Query, any subsequent data updates to the report will take only a few seconds of your time… That is true automation. 

 3. Let us Understand this Automation Through an Example 

   AN EXAMPLE OF POWER QUERY AUTOMATION 

 To illustrate how helpful Power Query can be when automating a report, assume the following scenario. 

Let’s take the Finances of the HR Department of a Manufacturing Company, and compare all expenditures by ledger for the current and the previous year.

Now with the help of Power BI and Power Query, this task can be done quickly by avoiding basic manual processes of making data.  

Power Query will help make all the expenditures data for the mentioned years into some informational data by cleaning, extracting, and filtering all the necessary expenditure data. 

• Each month, we make a report summarizing all expenditures by general ledger account. 
• To prepare this report, we got an extraction of data from a database that summarizes the past month’s activity. 
• We need to include the data file we receive each month with all the past data files sustained for the year to provide year-to-date information in our report. 
• Presently, we spend significant time copying and pasting data and updating formulas to complete the report. 

With Power Query, we can automate our report by developing a query that pulls data from all the files in a given folder to create a single data set. We can quickly create a PivotTable from this single data set to summarize the transactions by general ledger account and by month. Then, when next month’s data becomes visible, we place the file containing the data into the folder where the files containing the previous month’s data are stored and refresh our PivotTable. At that point, our report immediately updates to include last month’s data. In other words, we can update our report by simply dragging and dropping the new file into the folder with the rest! 

Conclusion  

Excel is amazing, but it becomes very powerful when combined with Power Query. Power Query not only simplifies the flow of importing data from multiple source files but arranges them into an Excel sheet in a perfectly usable and suitable format. 

 Excel’s Power Query feature is one of the most noteworthy features ever added to Excel. You can quickly start making the most of your existing data with this duo. As demonstrated above, this tool provides business professionals unprecedented options for linking and transforming data and automating many reporting processes. So, have you got your hands on it yet? 

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