Data Governance Checklist

Establish data governance policies and processes for your sales and marketing data with this checklist covering ownership, quality standards, and compliance.

11Items
3-4 hoursEstimated time
Sales OpsCategory

Sales Ops3 sections · 11 steps

01Define Ownership & Roles3
02Set Quality Standards4
03Implement Processes4

Work the list

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01Define Ownership & Roles

Assign a data owner for your CRMDesignate one person (usually RevOps or Sales Ops) as responsible for overall CRM data quality, processes, and standards.easy
Define field-level ownershipFor each critical field, specify which team or system is the authoritative source. Marketing owns lead source, Sales owns deal stage, Ops owns enrichment data.medium
Document data entry responsibilitiesClarify who is responsible for entering and maintaining data in each field. Create guidelines for what constitutes acceptable data quality.easy

02Set Quality Standards

Define required fields for each objectSpecify which fields must be populated for Leads, Contacts, Companies, and Deals. Enforce with CRM validation rules.easy
Create data formatting standardsDocument standards for phone numbers, addresses, company names, job titles, and other frequently entered data. Distribute to all CRM users.easy
Set data quality KPIs and targetsDefine measurable targets: 90%+ email fill rate, under 5% duplicate rate, under 2% bounce rate. Track these as team KPIs.medium
Create a data quality playbookDocument your standards, processes, and tools in a single playbook. Include common issues, how to fix them, and escalation procedures.medium

03Implement Processes

Set up automated validation rulesConfigure CRM validation rules to enforce data quality at the point of entry. Prevent records from being saved with missing or malformed required fields.medium
Schedule recurring data quality auditsSet up monthly data quality reviews using the Database Health Audit checklist. Assign ownership of the audit process.easy
Implement data enrichment automationSet up automated enrichment for new records and periodic re-enrichment for existing records. This maintains quality without manual effort.medium
Create data change approval workflowsFor critical fields (pricing, deal stage, account ownership), require approval or logging for changes to maintain an audit trail.hard

Tips

01
Data governance doesn't have to be bureaucratic. Start with simple, enforceable standards and expand over time
02
The biggest impact comes from required fields and validation rules. These prevent bad data at the point of entry
03
Make data quality visible by adding a dashboard to your CRM home page that shows current quality metrics
04
Automate what you can with tools like Cleanlist AI. Manual data governance doesn't scale
05
Review and update governance policies quarterly as your team, tools, and processes evolve

Frequently asked questions

What is data governance for sales teams?

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?

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?

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.

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