Eliminate duplicate business keys before workbook exposure
Shared data becomes fragile when a small schema change alters what a key means.
Continuity for existing analysis can compete with making source changes explicit.
“My totals jumped overnight, and I can’t tell which number is real anymore.”
Tomas Lebedev · Revenue Operations Analyst
Builds daily pipeline and account-coverage workbooks from the affected shared customer dataset.
What pulls against what
- fast restoration vs. durable model correction
- source compatibility vs. key integrity
- workbook continuity vs. consistent shared logic
What is at stake
A subtle key change is distorting live workbook totals. Restoring a trustworthy model prevents business teams from acting on double-counted customers
Why Sigma Computing
For Sigma Computing, this often matters because live workbook results inherit warehouse modeling errors quickly.
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.