Northstar Analytics prepares a monthly performance report for a major retail client, BrightCart, covering sales, returns, and campaign ROI across 18 regions. You are the program manager coordinating a 7-person cross-functional team: 3 data analysts, 2 data engineers, 1 account manager, and 1 QA analyst. The report is due in 10 calendar days and is tied to BrightCart's quarterly business review, where the client will decide whether to renew a $1.2M annual contract.
Two days into report preparation, the team discovers that 11% of transaction records from the last reporting month are missing from one source system, and another 6% of campaign attribution records appear corrupted due to a failed upstream schema change. The client has already been promised an on-time report, and leadership does not want to miss the QBR date.
The client VP of Operations wants a complete and decision-ready report on time. The account director wants to protect the renewal and avoid alarming the client unnecessarily. The data engineering manager wants time to fix root causes correctly rather than rushing a patch. Finance leadership also uses the report internally and expects numbers to reconcile within a 2% variance threshold.