A management meeting should end with a decision. Nemely connects business questions, trusted data and Microsoft analytics so your teams can understand performance and agree what to do next.
Microsoft documentation example: Copilot exploring a Power BI report using sample tourism data. These figures are demonstration data, not Nemely client results. Supported paid capacity and configuration are required; the screenshot is not licensing guidance.
Microsoft Power BIMicrosoft FabricDynamics 365 Customer Insights – Data
A few organizations we've worked with
What is standing between you and the answer?
Sometimes the missing piece is a useful report. Sometimes it is the data behind it. Follow the question that sounds familiar, then explore the solution in depth.
Power BI & analytics
What changed—and where should we look?
Revenue is moving, costs are rising or delivery is slipping. Start with the question a manager needs to answer. We shape Power BI reports around agreed measures and meaningful comparisons, with a clear route from the headline to the detail.
A report becomes difficult to maintain when every team builds its own extraction and transformation. Microsoft Fabric brings several analytics workloads together around OneLake. We help you assess which existing investments to retain and where a shared foundation is useful.
A contact record tells only part of the story. Connecting identities and relevant relationships helps teams understand who they are dealing with and which history belongs together. This Microsoft example shows how those table relationships can be explored.
Microsoft documentation example: the Customer Insights – Data relationship visualizer. The pictured tables illustrate relationships; they are not a Nemely client implementation.
Confidence starts with shared definitions and people who can resolve a discrepancy. We help you identify the data that matters, assign ownership and make quality checks part of everyday work—so the next report has a dependable starting point.
Bring the meeting, report or recurring question that takes too much preparation. Together we can define a useful first result and the work required behind it.
Identify the person making it, the evidence they need and how frequently the answer must be available.
Follow the information
Trace the necessary sources, definitions and access. Separate a reporting issue from an identity, quality or platform issue.
Prove the first use case
Build a focused slice, reconcile it with the business and review whether it changes the discussion before extending the scope.
Planning notes
Planning your next data investment
AI needs a reliable point of reference
Copilot can help readers summarise a Power BI report and explore its content. Useful answers still depend on the report, its underlying model and an informed reader. We review definitions and representative questions before making AI part of the management conversation.
FAQs
Your questions, answered.
Do we need a new data platform before we can improve reporting?
Often the first step is to improve a definition, a model or an existing report. We assess your current systems and the demands of the use case before recommending a wider platform change.
How do we choose which data project comes first?
Look for a recurring decision with a clear owner, accessible source data and a visible cost of delay. A bounded problem makes it easier to test the result and decide whether further investment is justified.
Can we include Copilot in the first stage?
Yes, when it serves the use case and the environment is eligible. Power BI Copilot requires supported paid capacity, appropriate regional availability and administrator settings. We confirm those conditions and test answers against the underlying report.
Explore the Microsoft capabilities
Explore the Microsoft capabilities
Build for today. Keep a view of what comes next.
Microsoft is moving Dynamics 365, Power Platform and Dataverse updates to the AI at Work roadmap from September 2026. We use the current feature status when planning your solution, and evaluate previews separately before proposing them for production.
Capabilities reviewed 8 September 2026. Licensing, configuration, language and regional availability vary by feature.
Your next step
Let’s make your next step concrete.
Bring the report you do not trust or the question your team cannot answer. Stefan can help you identify a focused next step, from an analytics review to a shared data foundation.