Data Governance Checklist
Establish data governance policies and processes for your sales and marketing data with this checklist covering ownership, quality standards, and compliance.
Define Ownership & Roles
Assign a data owner for your CRM
easyDesignate one person (usually RevOps or Sales Ops) as responsible for overall CRM data quality, processes, and standards.
Define field-level ownership
mediumFor each critical field, specify which team or system is the authoritative source. Marketing owns lead source, Sales owns deal stage, Ops owns enrichment data.
Document data entry responsibilities
easyClarify who is responsible for entering and maintaining data in each field. Create guidelines for what constitutes acceptable data quality.
Set Quality Standards
Define required fields for each object
easySpecify which fields must be populated for Leads, Contacts, Companies, and Deals. Enforce with CRM validation rules.
Create data formatting standards
easyDocument standards for phone numbers, addresses, company names, job titles, and other frequently entered data. Distribute to all CRM users.
Set data quality KPIs and targets
mediumDefine measurable targets: 90%+ email fill rate, under 5% duplicate rate, under 2% bounce rate. Track these as team KPIs.
Create a data quality playbook
mediumDocument your standards, processes, and tools in a single playbook. Include common issues, how to fix them, and escalation procedures.
Implement Processes
Set up automated validation rules
mediumConfigure CRM validation rules to enforce data quality at the point of entry. Prevent records from being saved with missing or malformed required fields.
Schedule recurring data quality audits
easySet up monthly data quality reviews using the Database Health Audit checklist. Assign ownership of the audit process.
Implement data enrichment automation
mediumSet up automated enrichment for new records and periodic re-enrichment for existing records. This maintains quality without manual effort.
Create data change approval workflows
hardFor critical fields (pricing, deal stage, account ownership), require approval or logging for changes to maintain an audit trail.
Pro Tips
- Data governance doesn't have to be bureaucratic — start with simple, enforceable standards and expand over time
- The biggest impact comes from required fields and validation rules. These prevent bad data at the point of entry
- Make data quality visible by adding a dashboard to your CRM home page that shows current quality metrics
- Automate what you can with tools like Cleanlist. Manual data governance doesn't scale
- Review and update governance policies quarterly as your team, tools, and processes evolve
Related Cleanlist Features
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Frequently Asked Questions
What is data governance for sales teams?
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Data governance for sales teams is the set of policies, processes, and roles that ensure CRM and prospecting data is accurate, complete, and consistently maintained. It covers who owns data quality, what standards must be met, and how quality is monitored and enforced.
Do small teams need data governance?
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Yes, even small teams benefit from basic governance. Start with three things: define required fields, assign a data owner, and set up a monthly quality check. As your team and data grow, expand your governance framework. Starting early prevents the costly cleanup needed when governance is bolted on later.
How do I get my sales team to follow data governance rules?
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Make it easy and visible. Use CRM validation rules to enforce standards automatically (instead of relying on training). Show the team how data quality affects their performance (bounced emails, wrong contacts, missed deals). Start with a few critical rules rather than overwhelming them with a comprehensive policy.
Need help implementing this checklist?
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