In the first two posts of this series, we explored how organizations can empower users to consume and build reports using governed datasets. Now we turn to the most advanced—and potentially transformative—level of self-service BI: enabling users to build their own semantic models. This level offers maximum flexibility and ownership, but it also introduces the […]
In the first post of this series, we explored how interactive reports provide a safe and scalable entry point into self-service BI. Now, we take the next step: enabling users to build their own reports using semantic models. This level of self-service offers more flexibility and insight—but it also requires more structure, training, and governance.
In today’s data-driven world, organizations are eager to empower their teams with self-service business intelligence (BI). But enabling self-service isn’t as simple as flipping a switch—it’s a journey that requires thoughtful planning, governance, and support.
This post kicks off a three-part series exploring the different levels of self-service BI. We begin with the most accessible and scalable entry point: interactive report consumption.
