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

The Dashboard Effect

Contenuto fornito da Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

3M 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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