October is Breast Cancer Awareness Month, and the message behind it is simple: the earlier you catch a problem, the better the outcome. Screening exists because waiting for symptoms means acting late. Your revenue data works the same way, in a far lower-stakes sense. Most teams only look at it when something already feels wrong.
Symptoms Show Up at Forecast Review
A stalled deal with no next step. A close date that's been pushed three times. An amount that doesn't match the quote. These surface in the Monday forecast call, when a VP of Sales is already committing a number. By then the record has been wrong for weeks, and the fix is a scramble instead of a two-minute edit.
Screening Beats Cleanup
Most data hygiene work is reactive. Someone notices a bad report, and an analyst spends a week reconciling it. Routine screening reverses that. Small, scheduled checks catch the problem at the record level, before it rolls up into pipeline coverage, commission accruals, or board metrics.
What We Screen For
Four checks cover most of what goes wrong in a CRM:
- Stale opportunities. Open deals with no logged activity in a defined window get flagged to the owner automatically.
- Close-date drift. Any deal whose close date moves more than once triggers a review, because repeated pushes are the strongest early signal of a deal that isn't real.
- Missing required fields at stage change. Amount, next step, and decision maker are validated when a rep advances the stage, not at quarter end.
- Cross-system mismatches. Bookings in the CRM get compared against invoices in finance on a rolling basis, so a discrepancy shows up in week two, not at month-end close.
Make the Screening Routine
A check nobody sees doesn't change behavior. Route each flag to the record owner with the specific field to fix, and give sales ops a single view of open flags by team. Real-time alerts beat a monthly audit, and a short weekly digest beats both for managers who need to drill down without chasing reps.
Keep the thresholds tight at first. Ten flags that matter get fixed. Two hundred get ignored.
Our Take
When we're brought in after a forecast miss, the root cause is almost never one big failure. It's a dozen small data problems that nobody caught while they were still easy to fix. Build the screening in, treat it as routine, and the forecast becomes something you can defend instead of something you hope holds.