Knowledge Sharing

If your team has adopted Power BI in recent years, you've likely experienced its many advantages. However, the user-friendly nature of the tool can be a double-edged sword. In this article, we explore three common pitfalls we have seen organizations face when using Power BI. By addressing these pitfalls, organizations can maximize Power BI's potential to transform their data into meaningful insights and drive informed decision-making.

Self-service BI allows business users to independently access, visualize, and analyse data. Although this sounds very promising for organizations, it also introduces challenges and potential pitfalls.

Lots of companies have done great without really paying too much attention to their data and its underlying processes. They have grown over time without doing so. But there is a risk in missing the next wave. Discover how Power BI will ease the switch.

As Microsoft released new APIs and Collibra has kept up with numerous new developments, the integration between Power BI and Collibra offers several new possibilities. Check out more details and download our guide with tricks and tips to facilitate this new integration.

While it used to be only available in Power BI, you can now build Default Semantic Models directly in Fabric using your tables from the Lakehouse or Warehouse.

If you want to extract value from your data, leveraging data to gain insights and support decisions is virtually impossible without a timely and well-scoped data validation.

With the general availability of Microsoft Fabric, the platform is ready to be deployed in your organization. But what is the impact of deploying a product like Fabric?