Data governance is the set of policies, processes, roles, and standards that control how data is collected, stored, maintained, and used across an organization. It answers questions like: Who can edit this field? What format should phone numbers use? How often should records be verified? Who decides what gets deleted? Good governance prevents the data chaos that makes CRMs unreliable.
Why It Matters
Without governance, every team enters data differently. Marketing uses "Software" as an industry while sales uses "SaaS" and "Tech." One rep enters phone numbers with dashes, another with dots, another with nothing. Fields get repurposed for things they weren't designed for. Within a year, the database is so inconsistent that reporting is unreliable and automation breaks. Governance prevents this by setting rules before the mess happens.
Core Components of Data Governance
- Data standards: Define formats, picklist values, required fields, and naming conventions for every object in your CRM
- Ownership: Assign a data steward or team responsible for maintaining quality and enforcing standards
- Access controls: Determine who can create, edit, and delete records. Restrict sensitive fields to authorized roles
- Quality monitoring: Set up dashboards that track completeness, accuracy, and duplication rates over time
- Lifecycle policies: Define when records should be reviewed, archived, or removed based on age and activity
Example
A 200-person company implements basic governance: required fields on lead creation, picklist-only values for Industry and Title, quarterly duplicate scans, and a data steward who reviews imports. Within 6 months, their CRM completeness goes from 55% to 88% and their marketing automation stops breaking on malformed data.
Related Terms
Related Resources
No data governance yet?
We'll audit your CRM, fix what's broken, and give you a framework to keep it clean going forward.
See What We'll Find