Data Quality Studio created by Adam Kovacs x AI Enablement Academy. Public MIT codebase, free to inspect, and still a limited alpha prototype.
The current six diagnostic dimensions, operating-state model, scoring engine, question bank, and action logic are original to this implementation. The method draws on Wang & Strong (1996), Pipino, Lee & Wang (2002), Wang (1998), and Lawrence (2017).
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Some features rely on tightly budgeted third-party APIs, so availability may be capped or temporarily downgraded.