In this episode of The Dashboard Effect Podcast, host Brick Thompson and Blue Margin’s Director of Solutions, Landon Ochs, dive into the nuances of semantic models and the bronze, silver, and gold layers within a data lake house. They explain the roles of each layer, how data is transformed at each stage, and why collaboration with business users is essential for accurate and actionable BI reporting.

Through this episode, you'll learn why different layers serve different purposes—from storing raw data to pre-joining tables for efficiency to creating finalized data ready for reporting. They also discuss how the semantic model is designed to simplify complex data relationships, making reporting easier for non-technical users.

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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

In this episode of The Dashboard Effect, Brick chats with Landon, Director of Solutions at Blue Margin, about a surprising challenge faced while extracting data from NetSuite. Despite NetSuite’s well-developed API, handling massive datasets proved problematic. Landon shares how they solved the issue using an unexpected solution—the ODBC connector.

They discuss the limitations of the API, how ODBC outperformed it for large data sets, and the unconventional yet effective workaround using a virtual machine. If you’re working with NetSuite or other cloud-based systems and experiencing similar challenges, you’ll want to hear this episode.

Key Takeaways:

• Why NetSuite’s API struggled with millions of records
• How ODBC became the unexpected hero for pulling large data sets
• The importance of getting creative with data extraction

Listen in for tips and insights that can help with your own data pipeline challenges!

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