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Content provided by Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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How Bad Data Models Can Sabotage Your Reports

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Manage episode 444474571 series 3366322
Content provided by Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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/
Visit Blue Margin's library of additional BI resources here: https://bit.ly/3fwNmcg

  continue reading

139 episodes

Artwork
iconShare
 
Manage episode 444474571 series 3366322
Content provided by Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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/
Visit Blue Margin's library of additional BI resources here: https://bit.ly/3fwNmcg

  continue reading

139 episodes

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