Mastering Rapid Power BI Development with ChatGPT: A Deep Dive
summary
Hands-on demo of using GPT-4 and 3.5 to generate a semantic data model, CSV sample data, a Python data generator, Power Query M code, DAX measures (YTD, rolling sum) and PowerShell scripts to list, back up, publish and refresh Power BI artifacts; many outputs require reprompting but ultimately run, insert rows, produce calendar tables and deploy reports. Claims include a BCG-style productivity lift: 25% faster, 40% higher quality, and larger gains for junior users; code sometimes hallucinates but is fixable with iterations.
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chapters (15)
- 0:00AI-powered Power BI development
- 3:39Speakers and session
- 6:09Power BI model with ChatGPT
- 8:17Artificial data for models
- 14:59Date table with Power Query
- 19:13DAX measures with ChatGPT
- 26:42AI visuals and themes
- 30:17Automate deployments with PowerShell
- 36:17Backup and manage reports
- 38:23Deploy between workspaces
- 40:30Refresh data sources
- 42:16AI productivity study
- 45:05Key takeaways and future
- 47:30Use cases and resources
- 48:36Q&A
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