Designing Market Monitoring That People Trust
Monitoring systems live or die on a human variable: whether the people they serve believe them. Notes on building that trust — provenance, humility, and the art of the visible caveat.
Archive
Tag: Data Quality
Building Reliable Public-Web Data Pipelines
Public-web pipelines fail in boring ways: a layout changes, an encoding breaks, a rate limit appears. Engineering for those failures — detectably, recoverably — is what separates a dataset from a science project.
Data Quality in Large-Scale Web Intelligence
Quality isn't a cleanup step — it's a designed property with measurable gates. The validation framework we apply before any dataset leaves the building.