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Explicit Measures Podcast

266: Managed Self Service in Power BI - The Implications?

Nov 9, 2023
Mike, Seth, and Tommy discuss managed self-service in Power BI, including the balance of control and agility in BI, dataset certification implications, and strategies for fostering a robust data culture.
01:04:13

Podcast summary created with Snipd AI

Quick takeaways

  • Managed self-service in Power BI involves a blended approach between discipline and governance around data and semantic models, ensuring trusted and clean data sets for reporting purposes.
  • The introduction of fabric in Power BI opens up new possibilities for accessing and utilizing semantic models, providing a powerful tool for data validation, monitoring, and seamless integration between Power BI and data science workflows.

Deep dives

Managed Self Service and Semantic Models

Managed self-service in the Power BI ecosystem refers to a blended approach between discipline and governance around data and semantic models. It involves the creation and curation of semantic models by a centralized team, which are then utilized by other teams to create reports. These semantic models are designed to represent enterprise data or specific business data sources, ensuring a trusted and clean data set. The central team takes ownership of maintaining and updating these models, while other teams utilize them for reporting purposes.

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