08-12-2026, 09:19 PM
Missing values, duplicate records, inconsistent categories, timezone mismatches, stale extracts, and definition changes can all make a dashboard wrong while still looking polished.
The fastest improvement is usually to identify the top recurring issue, assign an owner, and add one automated test at the earliest point in the pipeline. A visible data-quality metric can also stop people from treating every chart as unquestionable truth.
What type of data-quality issue causes the most rework in your reports?
The fastest improvement is usually to identify the top recurring issue, assign an owner, and add one automated test at the earliest point in the pipeline. A visible data-quality metric can also stop people from treating every chart as unquestionable truth.
What type of data-quality issue causes the most rework in your reports?
Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.