--- title: Raising the quality of insights in agentic analytics description: A sponsored report from MIT Technology Review Insights, produced in partnership with Snowflake, finds that only 48% of insights generated by analytics agents... canonical: https://daily.dev/posts/raising-the-quality-of-insights-in-agentic-analytics-qm6kbdfoc twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Raising the quality of insights in agentic analytics | daily.dev og:description: A sponsored report from MIT Technology Review Insights, produced in partnership with Snowflake, finds that only 48% of insights generated by analytics agents... og:url: https://daily.dev/posts/raising-the-quality-of-insights-in-agentic-analytics-qm6kbdfoc og:image: https://api.daily.dev/og/posts/qM6KbDFOc.png og:image:alt: Raising the quality of insights in agentic analytics og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Raising the quality of insights in agentic analytics **[MIT Technology Review](https://daily.dev/sources/technologyreview)** · 4 min read · 0 upvotes · 0 comments ## Summary A sponsored report from MIT Technology Review Insights, produced in partnership with Snowflake, finds that only 48% of insights generated by analytics agents lead to business-improving actions, up from 37% a year earlier. At a small group of 'insight leaders', over 70% of agent insights drive improvement. The top cause of poor insight quality is lack of business context, cited by 55% of surveyed executives, followed by fragmented data (45%). To fix this, 60% of companies are investing in AI and data governance and 45% are adding a semantic layer to their data architecture. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What percentage of insights from AI analytics agents actually lead to business improvement? On average, 48% of insights generated by analytics agents lead to actions that improve the business, according to a survey of executives. That's up from 37% a year earlier. A small group of 'insight leaders' do much better, with over 70% of their agents' insights driving business improvement. _Teams weighing whether their agentic analytics investment is paying off can track benchmarks like this on daily.dev._ ### Why do AI analytics agents produce low-quality or wrong insights? The leading cause is lack of business context, cited by 55% of surveyed executives, followed by fragmented or inaccessible data, cited by 45%. Many organizations also suffer from insight overload: 52% say their agents generate too many insights to properly evaluate, and only 24% can review all of them. _Developers debugging unreliable agent outputs can follow context and governance fixes like these on daily.dev._ ### What is a semantic layer and why do companies add one for AI agents? A semantic layer is a data architecture addition that gives analytics agents business context, helping them generate more reliable insights. It's one of two top initiatives companies pursue to improve agent insight quality, alongside strengthening AI and data governance, cited by 60% and 45% of surveyed companies respectively. _Anyone architecting data pipelines for AI agents can track semantic layer practices on daily.dev._ ## Similar posts on daily.dev - [Scaling AI agents with trustworthy data](https://daily.dev/posts/scaling-ai-agents-with-trustworthy-data-xahaxaps9) · MIT Technology Review · 0 upvotes · 0 comments - [Connecting AI agents to enterprise knowledge](https://daily.dev/posts/connecting-ai-agents-to-enterprise-knowledge-wjpvnq4xg) · MIT Technology Review · 0 upvotes · 0 comments - [81% of CIOs lack full oversight of AI agents built outside IT, Dataiku says](https://daily.dev/posts/81-of-cios-lack-full-oversight-of-ai-agents-built-outside-it-dataiku-says-qerxpllpk) · The Next Web · 0 upvotes · 0 comments - [Closing the AI impact gap](https://daily.dev/posts/closing-the-ai-impact-gap-ul2bo3ss2) · TechCentral · 2 upvotes · 0 comments - [State of Observability 2026 Reveals How Leaders Are Restoring Predictability to the Agentic Era](https://daily.dev/posts/state-of-observability-2026-reveals-how-leaders-are-restoring-predictability-to-the-agentic-era-981uy4bwz) · Cisco · 0 upvotes · 0 comments --- Tags: [#big-data](https://daily.dev/tags/big-data), [#data-engineering](https://daily.dev/tags/data-engineering), [#agentic-ai](https://daily.dev/tags/agentic-ai), [#snowflake](https://daily.dev/tags/snowflake) [View this post on daily.dev](https://daily.dev/posts/raising-the-quality-of-insights-in-agentic-analytics-qm6kbdfoc) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Raising the quality of insights in agentic analytics","url":"https://daily.dev/posts/raising-the-quality-of-insights-in-agentic-analytics-qm6kbdfoc","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/raising-the-quality-of-insights-in-agentic-analytics-qm6kbdfoc"},"datePublished":"2026-11-02T17:27:19.914Z","dateModified":"2026-11-02T17:35:06.555Z","description":"A sponsored report from MIT Technology Review Insights, produced in partnership with Snowflake, finds that only 48% of insights generated by analytics agents...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/15f08016c9501ea08228ce94d3987ea0?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/15f08016c9501ea08228ce94d3987ea0?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"MIT Technology Review","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"MIT Technology Review","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/a8d03889722f4f22b3986e0b395ff076","url":"https://daily.dev/sources/technologyreview"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/raising-the-quality-of-insights-in-agentic-analytics-qm6kbdfoc","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"big-data,data-engineering,agentic-ai,snowflake","timeRequired":"PT4M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"MIT Technology Review","item":"https://daily.dev/sources/technologyreview"},{"@type":"ListItem","position":3,"name":"Raising the quality of insights in agentic analytics"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/raising-the-quality-of-insights-in-agentic-analytics-qm6kbdfoc#faq","mainEntity":[{"@type":"Question","name":"What percentage of insights from AI analytics agents actually lead to business improvement?","acceptedAnswer":{"@type":"Answer","text":"On average, 48% of insights generated by analytics agents lead to actions that improve the business, according to a survey of executives. 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