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Analytics Data Driven Testing

Talkat QA Fest 2018 · on Friday, 2018-09-21· [observability, testing, databases]

Covers concrete workflows: Google Analytics setup and limits (tracking code, event/page/button timing, 30m lag, $150,000 premium), building an internal BI with event catalog and Presto queries (per-event success/error rates, per-user chronological explorer), plus integrations (Anodot anomaly alerts, Grafana/TrackJS/Slack, Tabooloom reports) and device-counts to prioritize test platforms. Demonstrates what was implemented, what metrics caught real bugs, and how monitoring shortens MTTR, so it’s useful if wanting practical BI-for-testing recipes.

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  1. 0:00Start
  2. 7:18Checkout form
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  4. 18:19Internal BI Tools
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