As a Microsoft Partner, we help organizations design, build and improve data platforms with Power BI, Microsoft Fabric and Azure. From reporting and data integration to architecture, governance and AI, we help you use the Microsoft stack where it actually adds value.
Microsoft Partner | Power BI | Microsoft Fabric | Azure
Power BI might be where people see the data. But a lot needs to happen before that data reaches a dashboard.
Data needs to come from somewhere. It needs to be integrated, transformed, stored and modelled. And as your Microsoft environment grows, questions around architecture, governance, performance and cost become more important.
We help organizations design, build and improve Microsoft data environments with Power BI and Microsoft Fabric.
Sometimes Power BI is enough. Sometimes Fabric makes sense. Often, you need both.
They are closely connected, but they are not the same thing.
Power BI is Microsoft’s platform for business intelligence, reporting and analytics.
We help organizations build and improve Power BI environments, from data models and DAX to dashboards, governance, performance and architecture.
Already using Power BI? We can also help when things get slow, refreshes fail or your environment has simply become harder to manage.
When your needs go beyond reporting, Microsoft Fabric brings more of your data platform together.
It includes capabilities for data integration, engineering, warehousing, data science, real time intelligence and analytics.
We help you understand where Fabric fits into your existing data landscape, which capabilities you actually need and how to implement them without making your architecture more complicated than it needs to be.
Power BI is part of Microsoft Fabric, but that does not mean every Power BI environment needs a large Fabric implementation. For many organizations, Power BI already does exactly what it needs to do.
Fabric becomes more relevant when the challenges start to extend beyond the dashboard. Data may be coming from more systems, transformations become more complex, teams need a better way to store and manage data, or different solutions start doing the same work. As the environment grows, governance can also become more difficult.
The important question is not whether you can use Fabric, but whether it adds value, which capabilities you actually need and how they fit with the technology and data architecture you already have.
Most organizations are not starting with an empty Microsoft environment. You might already have dozens of Power BI reports, data in SQL databases, Excel files, Azure services and different business applications. Different teams may also have built their own models and reporting solutions over time.
Microsoft Fabric does not exist in isolation. Many organizations already use Azure SQL, Azure Data Lake, APIs and other Azure services. We look at how Power BI and Fabric fit with that existing architecture, rather than assuming everything needs to move into Fabric.
Before introducing new technology, we look at what is already there and how well it is working. Where are the bottlenecks? What should stay? What needs to change? And where could Power BI or Microsoft Fabric make a meaningful difference?
The goal is not to rebuild everything in the newest Microsoft technology. It is to improve the parts of your data environment that actually need improving and keep what already works.
A dashboard is only as useful as the data and architecture behind it.
Connect data from different systems and make it available where it is needed.
Design an architecture that fits your current requirements without making tomorrow unnecessarily difficult.
Use Microsoft Fabric where it adds value for data integration, transformation, storage and analytics.
Build dashboards, reports and semantic models that help people understand and use their data.
Find out why reports, models or processes are slow and improve them.
Create clear agreements around access, development, deployment and ownership so your environment can grow without becoming a mess.
Moving from Qlik or another BI platform? We help determine what should move, what should be rebuilt and what might be better left behind.
Microsoft offers AI capabilities across its data platform, but AI is only as useful as the data behind it. Data needs to be reliable, well-structured and available in a controlled way before it can support AI applications effectively.
Power BI, Microsoft Fabric and existing Azure services can all play a role in that foundation. The right architecture depends on the data you already have, how it is governed and what you actually want AI to do.
The challenge is not choosing the newest Microsoft technology, but understanding how your existing data, platforms and processes should fit together and where changes would actually improve the environment.
These are architecture decisions rather than product decisions. We work with Microsoft technology every day, but we start with your existing data, users and requirements before deciding which technology belongs where.
Need help with reporting, analytics, data models, DAX, governance, performance or your existing Power BI environment?
Looking at data integration, engineering, warehousing or a broader Microsoft data architecture?
Not necessarily. Many organizations can continue using Power BI without implementing the wider Microsoft Fabric platform.
Fabric becomes more relevant when your challenges extend beyond reporting. You may need to integrate data from more systems, manage more complex transformations, create a scalable data platform or improve governance across teams and workloads.
We look at your existing environment first and determine where Fabric could add value rather than assuming it needs to be part of every Power BI architecture. Learn more about Microsoft Fabric.
Yes. In fact, we prefer to understand what is already there before recommending new technology. That includes your Power BI environment, data models, SQL databases, Azure services, data flows, governance and existing architecture.
We can identify bottlenecks, unnecessary complexity and areas where the current setup is already working well. The outcome may be a case for Microsoft Fabric, but it could just as easily be an improvement to what you already have.
Yes. A Microsoft data architecture is about more than choosing between Power BI and Fabric. Decisions also need to be made about data integration, transformation, storage, semantic models, security, governance and how existing Azure services fit into the picture.
We help design architectures around your requirements and existing technology rather than starting with a predefined Microsoft stack. When Fabric is part of the solution, our Microsoft Fabric consultants can also help turn that architecture into a working environment.
Yes. Adopting Microsoft Fabric does not mean that everything you already use in Azure needs to be replaced.
Many organizations already have Azure SQL, Azure Data Lake, APIs and other Azure services in place. Fabric can work alongside those technologies. The important question is which workloads benefit from Fabric and which parts of the existing architecture are better left where they are.
No. Moving everything into Fabric simply because the technology is available is rarely a good architecture principle.
Some data and workloads may benefit from Fabric, while others may be perfectly well served by existing databases, data platforms or Azure services. We look at where data should live based on requirements such as performance, governance, integration, cost and maintainability.
Yes. Microsoft Fabric is not the only way to integrate, transform and manage data for Power BI. TimeXtender can provide the data integration and data management layer behind Power BI and can also coexist with Microsoft Fabric and Azure services.
The right setup depends on your existing architecture, requirements and how much you want to standardize on Microsoft technology. We work with both Microsoft and TimeXtender, so we can help determine which approach fits best. Learn more about TimeXtender.
Yes. We work with both Qlik and Microsoft technologies, which is particularly useful when assessing a migration between the platforms.
A migration does not have to mean recreating every Qlik app in Power BI. We look at what is actually being used, which business logic needs to move, what should be redesigned and what may no longer be necessary. We also look at whether parts of the data architecture should move to Microsoft Fabric or another data platform rather than simply rebuilding dashboards.
Our Qlik to Power BI migration guide explains our approach in more detail.
Yes. Most organizations we work with already have reports, models, data processes and technology in place.
We can help with performance problems, data models, architecture, governance, deployment processes and environments that have simply become harder to manage over time. Sometimes that requires architectural changes, but often targeted improvements can make a significant difference.
Yes. We can stay involved after implementation to help keep your Microsoft data environment reliable, maintainable and under control.
That can include troubleshooting, performance improvements, ongoing development, architecture and governance advice, and support when reports, refreshes or other parts of the platform stop working as expected.
AI depends on reliable, relevant and well-structured data. Before focusing on AI technology, it is important to understand where your data comes from, how trustworthy it is, how it is organized and whether it can be made available securely and consistently.
Our AI Readiness Assessment looks at that foundation first and helps determine what needs to be improved before investing further in AI use cases.
Not sure whether you need Power BI, Microsoft Fabric or something else? Barry and Eric are happy to talk through your current data environment, challenges and plans. Schedule a call and we’ll help you work out what makes sense.
We reply within one business day
Available on weekdays between 8:00 AM and 6:00 PM (Amsterdam time)
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