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

EPISODE · Feb 7, 2024 · 10 MIN

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

from The Dashboard Effect · host Brick Thompson, Jon Thompson, Caleb Ochs

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.Subscribe here to get more episodes of The Dashboard Effect podcast on your favorite podcast app.Visit Blue Margin's library of additional BI resources.

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 prac...

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

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This episode was published on February 7, 2024.

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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...

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