---
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id: "b475b7dcc2276d63203ffeb5959c5cae813a217fd0208b255df456a8d1203bb2"
canonical_url: "https://aidr.today/b475b7dc?lang=en"
title: "Raising the quality of insights in agentic analytics"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-11-02T17:00:00.000Z"
category: "Data"
topics: ["agent","data-engineering"]
source_urls: ["https://www.technologyreview.com/2026/11/02/1147660/raising-the-quality-of-insights-in-agentic-analytics/"]
summary: "A lack of business context is the top reason analytics agents produce substandard insights. Investment is prompting semantic layers and governance rather than bigger models."
---

# Raising the quality of insights in agentic analytics

> [Open the canonical story](<https://aidr.today/b475b7dc?lang=en>)

**Published:** 2026-11-02T17:00:00.000Z
**Category:** Data
**Topics:** agent, data\-engineering

## Summary

A lack of business context is the top reason analytics agents produce substandard insights\. Investment is prompting semantic layers and governance rather than bigger models\.

## Sources

- [Story source](<https://www.technologyreview.com/2026/11/02/1147660/raising-the-quality-of-insights-in-agentic-analytics/>)