Key Takeaways
CRM Strategy — Quick Summary
- 1Data Ownership
- 2Quality Standards
- 3Access Policies
Deep Dive
Why Data Governance Matters
Without governance, CRM data becomes inconsistent, unreliable, and untrusted. Users stop using reports because they do not believe the data. Automation fails because data is wrong. Data governance creates the structure to keep CRM data accurate and useful.
Data Governance Components
Data Ownership
Define who is responsible for each data type:
| Data Type | Owner | Responsibilities |
|---|---|---|
| Contact data | Sales Operations | Accuracy, enrichment, deduplication |
| Account data | Finance + Sales | Company info, billing details |
| Deal data | Sales Managers | Stage accuracy, close dates, values |
| Case data | Service Managers | Resolution details, categories |
Quality Standards
- Required fields for each object
- Format standards (phone, email, address)
- Data entry validation rules
- Quality score targets
Access Policies
- Who can create, read, update, delete each data type
- Field-level security for sensitive data
- Sharing rules for cross-department visibility
- Data retention and archival policies
Governance Process
- Monthly data quality review
- Quarterly governance committee meeting
- Annual policy review and update
- Ad-hoc reviews for major changes
How AavishkarIT Helps
We help organizations establish CRM data governance frameworks. Our services include governance design, policy creation, owner assignment, and ongoing governance support.
Downloadable Resources
Free templates and guides