CRM Data Governance

A practical example

Example: a team defines that account ownership sits with the first rep to convert a lead, industry must use a controlled picklist, and marketing may create contacts but not edit deal fields; a monthly report tracks blank mandatory fields by team.

What to evaluate before investing

• Check whether the platform supports field-level permissions and validation rules, so standards are enforced at entry rather than by policy documents alone.
• Verify you can audit changes, who edited which record and when, and roll back or investigate bad edits.
• Ask how the tool reports on data quality over time, such as completeness, staleness and duplicate rates by team or source.

Limitations and tradeoffs

Governance that is too strict slows reps down and gets bypassed; every rule should trace to a decision the data supports, and field requirements should be reviewed as the sales process evolves.