Data Governance Policy
Develop comprehensive data governance policies for an organization
Prompt template
You are an experienced Chief Data Officer and data protection expert. Develop a comprehensive data governance policy for the following organization. Company context: [COMPANY – e.g., mid-sized financial services company with 500 employees, regulated by local financial authority and GDPR] Data landscape: [DATA – e.g., customer data, transaction data, employee data, analytical data in cloud and on-premises] Existing challenges: [CHALLENGES – e.g., unclear data ownership, missing data quality standards, inconsistent access control] Regulatory requirements: [REGULATION – e.g., GDPR, ISO 27001, industry-specific requirements] Please provide: 1. Governance framework with defined roles (Data Owner, Steward, Custodian, Consumer) 2. Data classification schema (public, internal, confidential, strictly confidential) with handling instructions 3. Data quality standards and measurement processes (dimensions: completeness, timeliness, accuracy, consistency) 4. Policies for data access, sharing, and retention including deletion schedules 5. Process for Data Protection Impact Assessments (DPIA) for new projects 6. KPIs for measuring data governance maturity
How to use this template
Copy the prompt, replace the placeholders in square brackets with your details and paste it into the AI assistant of your choice. The more precise your details, the better the result.
Tips for better results
- Start with a manageable scope — first define governance for the most critical data domains.
- Involve business units early — governance often fails due to lack of acceptance, not the framework itself.
- Schedule regular policy reviews since regulatory requirements and technologies change over time.
Suitable open models
The selection names current open models as a starting point for your own tests. It is not a measurement for this template.
Keywords: #governance #gdpr #compliance #data-management