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data quality

A Data-Quality Checklist for Reports

May 19, 2026 6 min read

Bad numbers in a polished report are worse than no report. Here's a checklist you can partly automate.

Before you ship

  • Do the totals actually sum?
  • Is any single figure wildly out of line with its peers?
  • Are percentages within a sane range?
  • Does every "see Figure/Table/Appendix X" resolve?
  • Is terminology consistent throughout?
  • Do dates form a coherent timeline?

Automate the boring parts

Most of these are mechanical. Outlier checks, reference resolution, and date ordering are exactly what a signal scanner does in seconds — freeing you to focus on judgment calls.

Try it on your own document

Scan a Document
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