How Bad Data Models Can Sabotage Your Reports
from The Dashboard Effect Hosted by Brick Thompson, Jon Thompson, Caleb Ochs
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
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What this episode covers
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 Sho...
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