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The Future of Data Analysis: BI Tools, Natural Language, and Modern Stacks

LLMs shouldn’t write SQL 🔗

There's no direct path from a business question to a useful query.

The text discusses two main methods of data analysis: structured analysis using BI tools and unstructured analysis requiring custom datasets and queries. It examines the potential role of natural language in data analysis, particularly in replacing SQL as the dominant query interface. The author argues that while natural language may improve accessibility to BI tools, it may not entirely replace SQL, especially in complex analysis. Additionally, the text touches on the modern data stack, the potential retirement of prevailing philosophies, and the author's personal news regarding a political campaign. The author also seeks an analyst familiar with various BI tools and discusses the efficiency of using natural language for specific tasks.

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