DataKitchen IO

"Consistency is at 70%" has never made anyone fix a row of data. "These 412 rows have a bad customer ID, here they are" does. The six types of data quality dashboards, and where each one stops working: hubs.ly/Q04DML6p0

What data governance does a three-person SQL Server team actually need? Five things, no program: catalog, Critical Data Elements, tests, a quality score, owners: hubs.ly/Q04D9V320

How many hours a week does a data quality tool take to run? Measure it in your trial. Alert noise drives it more than table count, and hand-writing tests costs more: 2,500 tests is 1,250 hours. hubs.ly/Q04C2WQC0

Data contracts shipped in open source TestGen. Generate one from tables you've profiled or import an ODCS file, freeze it in numbered versions, compare any two, and do the round trip from your AI assistant: hubs.ly/Q04FddpC0

Ask your data observability vendor to define a credit in writing. Monte Carlo's Scale rate on 1,000 tables is about $179,000 a year. TestGen Enterprise for the same team: $15,600. The receipts: hubs.ly/Q04DXzhR0

Purview Data Quality: $15 to $240 per processing unit plus $0.0165 per governed asset per day (East US, Nov 2026). Open-source TestGen: $0 for one connection. The math: hubs.ly/Q04D9-Nh0

Google's Knowledge Catalog checks the BigQuery rules you write. Somebody still writes them, up to 1,000 per scan. Five tools compared, including the one that writes the tests for you: hubs.ly/Q04C2W8b0

114 organizations now use the ODCS data contract standard, up from nine in 14 months. We put about 30 contract tools through a round-trip test and a run-the-tests test. Nine passed: hubs.ly/Q04DMHDZ0

Can you ask Claude or Copilot what's wrong with your SQL Server data? Yes, if it can read real data profiling results and test history instead of guessing: hubs.ly/Q04D9ScF0

80% correct data, queried by an 80% accurate model, gets you about 64%. The errors multiply. A six-row check for whether your commercial pharma data is ready for AI: hubs.ly/Q04C2W900

One blended data quality score can tell brand share and incentive comp they're both fine. Give each consumer its own scorecard, pass lines and owner: hubs.ly/Q04DXl7g0

One row moved in a 40-row market basket file, and your lead product's market share dropped four points. The IQVIA feed loaded clean. Why small pharma files do the most damage, and four practices that keep them honest: hubs.ly/Q04DMH500

Yes, you can check on-prem SQL Server data quality without sending data to the cloud. What a tool has to do to qualify, and every connection TestGen makes: hubs.ly/Q04D9Rwc0

One blended data quality score can tell brand share and incentive comp they're both fine. Give each consumer its own scorecard, pass lines and owner: hubs.ly/Q04DXl0v0

Datadog is green. The revenue table loaded yesterday's file for the third day running. Datadog watches servers. Data observability watches whether tables arrived on time and correct. Running both: hubs.ly/Q04C2W8P0

AI 101 for data quality people: you already know most of what AI needs from you. DataKitchen's Chip Bloche and Danette McGilvray teach Quality Data and Trusted AI at DGIQ + AIGov, Mon Nov 16: hubs.ly/Q04D60hT0

Most data contracts are documents nobody runs. Nov 17, 12pm ET: Chris Bergh builds one live in open source TestGen, from a messy data set to 80% of the tests in 60 seconds. One hour, free: hubs.ly/Q04DMGtQ0

Data profiling five small tables slowed a live app for 20 minutes. Five ways to test production SQL Server data without slowing it down: hubs.ly/Q04D9Rs70

Profiling five tables on one customer's live Azure SQL database slowed their clinical app for 20 minutes. Profile a replica overnight instead. Azure SQL setup for TestGen, firewall rule included: hubs.ly/Q04C2VHV0

Data quality isn't a technology problem. It's culture, organization, and process: warring tribes, the data shame game, the ostrich problem. 620 pages on what to do about it, free: hubs.ly/Q04C_HV-0