From Data Setup to Power BI Reports: Considerations for Your Data Model (Semantic Layer)

The Dashboard Effect

Treść dostarczona przez Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

8M ago 10:13

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In this episode, Brick and Caleb explain the distinctions of and interdependencies between data setup/data pipelines, data modeling, and reporting, emphasizing their individual roles within an effective approach to data analytics and BI.

Starting by explaining the necessity of a solid data pipeline structure, this episode highlights how the specific requirements of a report influence the development of a corresponding data model (also known as a semantic layer) and concludes with a practical discussion on balancing the complexities of data models.

Click here to watch this episode on our YouTube channel.

Blue Margin increases enterprise value for PE-backed, mid-market companies by serving as their fractional data team. We advise on, build, and manage data platforms. Our strategy, proven with over 300 companies to-date, expands multiples through data transformation, as presented in our book, The Dashboard Effect.

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