Data & Process Optimization
Data & Process Optimization is a monthly RevOps retainer that keeps CRM data quality and process alignment from degrading. We run recurring deduplication and hygiene passes, fix the process gaps that create bad data, and adjust the portal as your operations change. For companies where data debt keeps returning after every one-off cleanup.
The problem this solves
One-off data cleanups do not hold. Six weeks after the big deduplication, new duplicates arrive through forms and imports, reps invent new values for fields that already have conventions, and lifecycle stages drift from their definitions. The root cause is that bad data is a process symptom: every recurring data problem traces back to an entry point, an integration, or a workflow that keeps producing it. Cleaning data without fixing the process is renting cleanliness by the month.
How we work
We work both layers on a monthly rhythm. The data layer: scheduled hygiene passes covering duplicates, formatting, property completeness on the records that matter, and list health. Quality is measured with a consistent scorecard, so improvement is visible cycle over cycle instead of anecdotal.
The process layer is where the compounding happens. Each recurring data problem gets traced to its source, whether that is a form without validation, an import template nobody updated, an integration writing stale values, or a process step reps skip, and the source gets fixed. Over a few cycles the hygiene passes find less and less, which is the goal.
Process change requests from your team flow through the same backlog: a new lifecycle definition, a changed handoff rule, a property restructure. We assess the data impact before shipping, because most process edits have one.
Deliverables
- Monthly data quality scorecard with trend over cycles
- Recurring deduplication and hygiene passes
- Root cause fixes at data entry points and integrations
- Process adjustments shipped from a prioritized backlog
- Documented data standards and field conventions
What buyers ask before scoping.
We already did a big cleanup and it did not last. How is this different?
That is exactly why this is a retainer and not a project. The recurring passes handle the stock of bad data, but the real work is shutting down the inflow: every duplicate source and dirty field gets traced and fixed at the origin. We measure both, and the inflow number trending toward zero is what makes this cleanup the last big one.
What do you need access to?
Admin access to the portal, plus short conversations with the people who own the key processes when we trace a root cause. Data problems usually end at a human decision, like who fills what and when, so fixing them purely from the admin panel only gets you halfway.
Does this include a CRM migration or data model restructure?
No. Migrations and data model redesigns are separate projects with their own scope and dry-run process. This retainer keeps quality high within the model you have, and it is the natural follow-on after such a project, so the clean state you paid for stays clean.
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