Part 0
The Modern Data Operating System
The map before the methods
This opening part builds the one capability every later technique depends on: seeing a business as a system that turns activity into data, stores it, and converts it into decisions someone owns. Rather than leading with a method, it maps the territory the rest of the book moves through — following a single customer's morning at Bean & Basket to show why a search, an impression, a transaction, a review, and an AI log each capture behavior with a different blind spot — then sorts the storage stack and the workflow families that route evidence to action. It ends on the data-to-decision loop and the test that separates genuine data-driven work from its decorated imitation: an action, a counterfactual comparison, and a threshold.
1 chapter · 5 articles
What you’ll learn
- Read any business event as a data trace and name the specific blind spot baked into how it was recorded
- Match a question to the right storage layer across operational SQL, warehouses, local analytics, and vector or graph stores
- Route a business question to the workflow family that fits it rather than reaching for a familiar method
- Trace a decision around the full data-to-decision loop from source activity through evidence, action, and feedback
- Tell genuine data-driven work from data-decorated work using the action, counterfactual, and threshold test
In this part
Treat data as a trace of business activity, then route the question through storage, evidence, and a decision someone can own.