Day 1: Establishing Accountability for Enterprise Data

Designing Governance Models

• Maintain an approved definition register
• Establish formal decision-making structures
• Identify required governance committees
• Link governance with data goals

Defining Data Ownership

• Data domain owners and roles
• Clarify data owner authorities
• Link ownership with quality accountability
• Record of formal ownership decisions

Assigning Stewardship Roles

• Data steward roles and responsibilities
• Distinguish stewardship from ownership
• Allocate responsibilities by domain
• Set appropriate escalation paths

Day 2: Making Data Traceable and Governed

Developing Policy Frameworks

• Primary policy topics for governance
• Draft rules suitable for application
• Link requirements with regulatory obligations
• Review and update mechanisms

Managing Data Catalogs

• Document definitions of data elements
• Standardize terminology across departments
• Assign owners of approved terms
• Review catalog content after changes

Documenting Data Lineage

• Map data movement across systems
• Transformations along the flow
• Documented sources of final fields
• Update lineage after system changes

Day 3: Building Quality into the Data Lifecycle

Applying Quality Controls

• Define required quality dimensions
• Apply accuracy and completeness checks
• Tracking of recurring quality failures
• Manage appropriate corrective actions

Building Validation Rules

• Potential data error impact
• Create data quality checks
• Specify treatment of invalid values
• Record of approved validation rules

Protecting Privacy and Confidentiality

• Classify data by sensitivity
• Permitted purposes for use
• Restrict access to sensitive information
• Monitor external data sharing

Day 4: Controlling Data from Access to Retention

Managing Usage Permissions

• Maintain an approved definition register
• Apply the least privilege principle
• Current access to sensitive accounts
• Record of periodic permission changes

Managing Data Lifecycles

• Stages of data creation
• Organize enterprise use and storage
• Appropriate archival conditions for records
• Manage disposal at lifecycle end

Defining Retention Periods

• Retention periods by data category
• Set periods by data category
• Document exceptions and special cases
• Review retention periods periodically

Day 5: From Governance Assessment to Improvement

Assessing Governance Maturity

• Define target maturity levels
• Assess current practices objectively
• Identify major capability gaps
• Prioritize governance development actions

Building Governance Roadmaps

• Priority governance initiatives and sequencing
• Assign responsibilities and deadlines
• Link initiatives with success measures
• Review progress and update roadmap

Preparing Executive Summaries

• Refine executive recommendation wording
• Summarize the most important numbers
• Highlight required decisions clearly
• Avoid excessive technical detail

• Test Designing Governance Models through an operational scenario
• Case analysis connecting Documenting Data Lineage with a management decision
• Use a diagnostic exercise to uncover gaps in Managing Data Lifecycles
• Complete a mini-project producing a tool for Preparing Executive Summaries