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Data governance framework

Establish comprehensive data management and governance practices

Design and implement data governance frameworks that ensure data quality, privacy, security, and compliance while enabling data-driven decision making.

95 minutes
creation

Overview

Design and implement data governance frameworks that ensure data quality, privacy, security, and compliance while enabling data-driven decision making.

Learning objectives

  • Define data governance policies
  • Establish data quality standards
  • Create privacy frameworks
  • Build compliance processes

Instructions

Build data governance:

1. Assess current data landscape 2. Define governance policies 3. Create quality standards 4. Implement privacy controls 5. Establish monitoring

Steps

1

Data assessment

25 minutes

Map data assets and flows

2

Policy creation

25 minutes

Define governance policies

3

Quality framework

20 minutes

Establish data quality standards

4

Privacy design

20 minutes

Implement privacy controls

5

Monitoring setup

5 minutes

Create oversight mechanisms

Pro tips

  • •Start with critical data
  • •Automate quality checks
  • •Regular privacy audits
  • •Clear data ownership

Example outcome

Data governance framework with 95% data quality score, GDPR compliance, clear ownership model, and automated quality monitoring.

Explore more resources

Check out the full stdlib collection for more frameworks, templates, and guides to accelerate your technical leadership journey.