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Open source Business Intelligence and Embedded Analytics. 🌟 GitHub: https://nitter.gq/t.co/AvOD8jbBIB 📽️ YouTube: https://nitter.gq/t.co/eHsYD5c2WB

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Joined January 2015
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AI just went open source.  Welcome to Metabase 60 🫶
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metabase 65 dropping right when my agent kept bugging me for better data access is perfect timing.
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Metabase 65 is out, and your coding agent’s about to have a very good week. Here’s what’s new 🧵
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The trusted dashboards, all in one place. metabase.com/docs/latest/dat…
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My 20-minute morning routine in Metabase before opening the sprint board: 1. Checkout approval-to-completion rate 2. Mobile money webhook latency by telco 3. Weekly cohort repayment curves 4. Top 3 support ticket tags from yesterday Know your numbers cold.
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Data teams aren’t afraid AI will take their jobs... they’re afraid it’ll be confidently wrong. We ran a quiz and live polls during AI Analytics Week to see how teams really feel about AI on their data. Here’s what came back 🧵
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Jobs, not so much. 53% are excited about AI changing their role. Only 12% are losing sleep, and two-thirds of those still want to connect agents to their data.
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Are we going back to test-driven development by prompting the tests first and asserting what you want before the agent builds it? But what about the BI engineer? Sameer, the CEO of Metabase, said: “Business people are the best data contracts, they know when something doesn't make sense, they know the numbers. Plus, they feel it in their subconscious". A lot is changing in BI and data generally. This deep dive goes into how to consolidate components to optimize for human ergonomics, and not agents only, and what a unified, hierarchical lineage DAG has to do with catching drift at build time. Where does verification happen on your team today? My two cents below.
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Clean data can still lose the room by slide 4 because leadership wants the answer, not the walkthrough. At @DataConnectConf, @cbalusek will show how to lead with the point, with real before-and-after decks.
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