How Bad Data Models Can Sabotage Your Reports

The Dashboard Effect

Kandungan disediakan oleh Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs, Brick Thompson, Jon Thompson, Caleb Ochs, and Landon Ochs. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs, Brick Thompson, Jon Thompson, Caleb Ochs, and Landon Ochs atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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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).
Get more episodes of The Dashboard Effect podcast on your favorite podcast app or at https://podcast.thedashboardeffect.com/
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143 episod

#Business #Brick Thompson Jon Thompson And Caleb Ochs #Brick Thompson #Caleb Ochs #Jon Thompson #Data #Analytics #Private Equity #Business Intelligence #Data Analytics #Dashboard #Blue Margin