You are working on a finance pipeline that loads monthly actuals from the general ledger into a planning tool used by analysts and budget owners. The source files come from multiple ERP extracts and manual adjustments, and the load runs on a fixed close calendar. When a bad file or mapping issue slips through, planners see broken variances and spend time reconciling numbers instead of reviewing performance.
How do you validate data quality when loading actuals into a planning tool, and what checks would you put in place to catch errors early?