How Bad Data Models Can Sabotage Your Reports

The Dashboard Effect

Contenuto fornito da Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs, Brick Thompson, Jon Thompson, Caleb Ochs, and Landon 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, Landon Ochs, Brick Thompson, Jon Thompson, Caleb Ochs, and Landon 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.

6M ago 10:51

MP3•Pagina principale dell'episodio

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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