Insights
Notes on BI, automation, and operating intelligence.
Practical writing for operators on executive dashboards, reporting automation, data ownership, and how growing companies build systems they own.
Insights
Notes on BI, automation, and operating intelligence.
Practical writing for operators on executive dashboards, reporting automation, data ownership, and how growing companies build systems they own.
AST SpaceMobile Unfolds BlueBird 6: The Largest Commercial Antenna Ever Deployed in Low Earth Orbit
AST SpaceMobile (NASDAQ: ASTS) just hit a milestone that deserves attention well beyond the aerospace community. The company has successfully unfolded its next-generation BlueBird 6 satellite.
Industrial Computer Vision for Defect Detection on AWS: A Practical Reference Architecture
Defects don't announce themselves. A practical reference architecture for automated visual inspection on AWS — from camera capture through ingestion, inference, and alerting to the quality dashboard.
The Cloud Stack Behind Owned BI: Data Layer, Semantic Layer, Execution Layer
The three layers behind owned BI: a data layer sized honestly for your volume, a semantic layer where definitions live, and an execution layer for jobs and alerts — all running in your own accounts, in version-controlled code.
Reporting Infrastructure Is Part of Diligence: Dashboards and M&A Readiness
In diligence, buyers price uncertainty. A company that answers operational questions in hours from governed systems reads differently from one that needs two weeks of spreadsheet archaeology.
Thinking Like a Data Owner — Without Hiring a CDO
Three questions do most of a CDO's job: where does each number leadership uses come from, which decisions are waiting on data that arrives too slowly, and what breaks if the person who does the reports leaves?
AI in Operations Only Works on Top of a Working Data Layer
AI-assisted operations depend entirely on the reliability of the data underneath — if two systems disagree about a number, the model amplifies the confusion. Unify sources and settle definitions first, then add AI where it demonstrably helps.
The Point Where Companies Outgrow Spreadsheet Reporting
Spreadsheets are the right tool until observable thresholds are crossed: reports rebuilt by hand on a cadence, one person as the single point of failure for the numbers, decisions waiting on reconciliation. Replacing them is smaller than it sounds.
Why Most BI Dashboards Fail (And What Working Ones Do Differently)
Dashboards fail for predictable, fixable reasons: no recurring decision they answer, no agreed KPI definitions, no pipeline underneath, no owner. Working ones settle definitions before visuals and automate the refresh end to end.