How Bad Data Models Can Sabotage Your Reports The Dashboard Effect podcast

Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

The Dashboard Effect »
How Bad Data Models Can Sabotage Your Reports

18h ago 10:51

MP3•에피소드 홈

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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