How Bad Data Models Can Sabotage Your Reports

The Dashboard Effect

Inhoud geleverd door Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs, Brick Thompson, Jon Thompson, Caleb Ochs, and Landon Ochs. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs, Brick Thompson, Jon Thompson, Caleb Ochs, and Landon Ochs of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

6M ago 10:51

MP3•Thuis aflevering

In this episode, Brick Thompson and Caleb Ochs discuss the critical role of good data models in making business intelligence tools like Power BI efficient and scalable. They cover the pitfalls of poor data models, including delayed reporting and data category issues, and offer insights into designing flexible, transactional-level data models that can grow with your business needs.
Key Moments:
- Example of a Bad Data Model
- The Benefits of Transactional-Level Data
- Why Developers Take Shortcuts
- Common Data Model Mistakes
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.
For a free, downloadable copy click https://bit.ly/3RmBGWQ, or buy a hardcopy or Kindle version on Amazon (https://amzn.to/3UTvTLm).
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150 afleveringen

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