FastDQ
Data quality evidence generator
FastDQ generates evidence to help build credible cases for data quality initiatives, providing defensible analysis in a format ready for business presentations.
Business users often understand data quality problems exist but lack concrete evidence to present to decision-makers.
FastDQ bridges this gap by providing quantified, professionally-framed findings that help to highlight potential strategic data quality investment cases.
Summary:
- 24 analyses
- Conditional (column types) and universal analyses
- Weighs likelihood of false positives against the extent to which the analysis score represents a likely data quality issue to the organisation
- Results prioritised to focus attention on highest-confidence, highest-impact issues
Presently building out a tactical data quality tool. It generates a report with stats and priority ranking based upon, presently, 24 different types of data quality analysis.
Problem it's solving is simple: The gap between an organisation feeling there's data quality issues that need funding and addressing and the stats and phrasings to help justify new data quality intiatives/budget expansions.
Looking to find use cases, refine the wording and the scoring. So if you could download and play around with it I'd be appreciative. Similarly, if you note any bugs or wish to chat personally about the tool, hmu! Thanks
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