Change
What has really changed?
Separate meaningful capability from announcement noise, familiar ideas and short-lived novelty.
The Decode method
A repeatable way to move from technology signal to business meaning.
Every Decode follows the same four questions. The method keeps architecture, operating reality and business outcomes in one story—without simplifying away the difficult parts.
The framework
Four questions. One connected assessment.
Not a maturity model or a vendor scorecard. It is the editorial method used to test a Cloud, Data or AI development from signal through outcome.
Fit
Where does it belong?
Place it in the architecture, data foundation and existing platform landscape—then expose the trade-offs.
Reality
What will it require?
Examine governance, ownership, skills, operating model, cost and the path from pilot to production.
Outcome
Why does it matter?
Connect the technology to a decision, measurable business value and the evidence needed to judge success.
The first Decode
The architecture decision is only half the story.
Topics for future editions
Questions worth examining.
These topics will be developed as articles over time, drawing on architecture, delivery and leadership considerations.
Platforms
Choosing a data platform without starting with the vendor
A practical way to compare Fabric, Databricks, Snowflake and the ecosystems around them.
AI
Agentic AI beyond the demonstration
The evaluation, controls, context and operating discipline required to move from pilot to production.
Data products
Why pipelines alone do not create adoption
Ownership, discoverability, trust and decision workflows matter as much as engineering.
How the method is read