Data quality metrics should tell you whether the business can rely on its data for a particular decision. A dashboard full of passing checks can still leave that question unanswered. Imagine a billing team receiving 990 usage records. Every record has the required fields, a valid customer identifier and a nonnegative quantity. The checks look
Data Quality Metrics: What Leaders Should Measure Beyond Pass Rates Read More »
I ran 19 subscription billing scenarios through batch totals and detailed reconciliation. Detailed checks caught 12 of 14 defects. Two got through because the reference data held the same mistake as billing.
Revenue Assurance for Subscriptions: My Billing Reconciliation Experiment Read More »
I ran 11 broken usage-billing batches through three validation gates. Data contract validation blocked 8, but a hidden unit change, a wrong valid customer and a missing event still produced incorrect bills.
Data Contract Validation: What My Billing Experiment Caught and Missed Read More »
Data contracts turn the assumptions downstream teams depend on into an agreement with owners. What they cover, who owns them, where checks run and what they still miss.
Data Contracts: What They Are and Why They Matter Read More »
How to tell whether AI has become part of useful work: a fictional 1,000-seat adoption funnel, five metric layers and a review cadence from pilot to scale.
AI Adoption Metrics: What to Measure After the Pilot Goes Live Read More »
Six tests that decide which KPIs deserve executive attention, applied to a fictional 36-metric dashboard, with leading and lagging pairs and an AI investment check.
Executive KPIs: Which Metrics Deserve Leadership Attention? Read More »
A cost model for a fictional supplier-confirmation agent showing cost per successful task, payback, break-even volume and why review policy matters more than token prices.
AI Agent Cost: What an Agent Has to Save Before It Pays for Itself Read More »
Why dashboards and pipelines are poor measures of a data team, and a value ledger and scorecard that a CFO will accept without invented attribution.
Data Team KPIs: How to Measure the Business Value of a Data Team Read More »
A practical AI prioritization framework that ranks AI projects on value that survives exceptions, review time, adoption and missing baselines, then tests whether the ranking holds.
AI Prioritization Framework: Which AI Project Should You Fund First? Read More »
The same AI agent scored 0%, 79% and 93% on the same 14 business questions. Here is the evaluation method I use to see what the score hides.
AI Agent Evaluation: How I Test an AI Agent Before I Trust It Read More »
