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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 to Structure Your Data for Power BI Copilot

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Manage episode 397347244 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.

Brick and Caleb call out key aspects of Microsoft's Power BI Copilot documentation related to structuring datasets for Large Language Models (LLMs) and explain how to get these best practices in place. Data structure and organization are critical for getting useful outputs from advanced analytics tools like Power BI Copilot, and useful outputs will determine, in large part, whether or not these tools will be widely adopted.
Here is the Microsoft documentation referenced: Update your data model to work well with Copilot for Power BI - Power BI | Microsoft Learn
Click here to watch this episode on our YouTube channel.
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.
Subscribe here to get more episodes of The Dashboard Effect podcast on your favorite podcast app.
Visit Blue Margin's library of additional BI resources.

  continue reading

127 episodes

Artwork
iconShare
 
Manage episode 397347244 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.

Brick and Caleb call out key aspects of Microsoft's Power BI Copilot documentation related to structuring datasets for Large Language Models (LLMs) and explain how to get these best practices in place. Data structure and organization are critical for getting useful outputs from advanced analytics tools like Power BI Copilot, and useful outputs will determine, in large part, whether or not these tools will be widely adopted.
Here is the Microsoft documentation referenced: Update your data model to work well with Copilot for Power BI - Power BI | Microsoft Learn
Click here to watch this episode on our YouTube channel.
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.
Subscribe here to get more episodes of The Dashboard Effect podcast on your favorite podcast app.
Visit Blue Margin's library of additional BI resources.

  continue reading

127 episodes

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