Improving your data quality setup to get to AI ready data

Soda AI isn't just for onboarding new data — it helps data stewards, analysts, and anyone managing data quality iterate on the data sources they already have. In this demo, we ask Soda AI to assess a mature data source, surface the risks and coverage gaps, then execute a plan together: adding checks, tagging data sets for governance, enabling metrics monitoring, and backfilling anomaly detection — all with the human in the loop, at a scale and speed you couldn't reach manually. Explore Soda AI → https://soda.io/soda-ai Chapters: 0:00 Managing data quality with Soda AI 0:49 Asking Soda AI for the full picture 1:00 Health summary: coverage, checks & risks 1:45 The gap: metrics monitoring disabled 2:15 "Execute it all" — the recommended plan 3:19 Tagging data sets for governance 3:48 Human in the loop: confirming the plan 5:24 34 actions done — successes & blockers 6:17 Metrics monitoring on a daily schedule 7:33 Historical backfilling for anomaly detection 8:35 Session recap: coverage leveled up