Prioritize governed reuse of analyst-created data
The same copied data pattern can signal either productive autonomy or emerging fragmentation.
Making work reusable can compete with preserving the context that made it useful.
“I’m not trying to make shadow data—I’m just trying to finish the analysis this week.”
Filipa Ioannou · Supply Chain Business Analyst
Builds recurring inventory and fulfillment workbooks and creates intermediate tables when source joins are difficult to reuse.
What pulls against what
- analyst autonomy vs. unmanaged duplication
- performance shortcuts vs. reusable logic
- standardization speed vs. evidence quality
- governed reuse vs. contextual flexibility
What is at stake
Intermediate tables are rising, but their meaning is disputed. The right experiments can distinguish valuable analyst autonomy from costly fragmentation
Why Sigma Computing
For Sigma Computing, the pattern often matters because live warehouse analysis can amplify both reuse and unmanaged duplication.
Written for
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.