Data
Data Observability Needs Product Thinking
Standard observability catches most structural data failures but very few semantic ones. The semantic failures it misses cause far more business impact.
Data Quality
Tagged
Jul 05, 2026
Data
The Data Quality Problem Is a Trust Problem
Data quality is a trust problem between producers and consumers. Data quality is a trust problem. Clear ownership, feedback loops and shared accountability resolve more…
Jun 04, 2026
Data
Goodhart’s Law in Your Dashboard: When Metrics Fail
When a metric becomes a target, it ceases to be a good metric. Most engineering dashboards audited showed Goodhart distortion within months of targeting.
May 29, 2026
Data
Designing Data Pipelines for Machine Consumers
AI agents now consume more analytical data than humans at a majority of the organizations I work with. Machine consumers require fundamentally different quality contracts.
May 16, 2026
Data
The Myth of the Clean Dataset
Processing a full corpus of SEC filings surfaced structural anomalies common enough to corrupt any downstream analysis. The myth of the clean dataset persists because…
Mar 10, 2026
Data
Building a Data Intelligence Pipeline from SEC Filings
How I turned 36,791 SEC filings into a validated enterprise prospect database, and what a high false positive rate taught me about data quality.
Jan 27, 2026