Data Governance

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We design enterprise data governance frameworks that establish clear ownership, accountability, and control over data assets across the organization.

Includes:

• Governance operating model design
• Roles and responsibilities (data owners, stewards, custodians)
• Policy and standards development
• Governance charters and documentation
• Alignment with federal data strategy and compliance requirements

We establish data stewardship structures that ensure ongoing accountability and active management of data across business and IT functions.

Includes:

• Stewardship model design
• Business and technical steward roles
• Stewardship workflows and processes
• Training and onboarding for stewards
• Integration with governance operations

We implement structured metadata management practices that enable organizations to understand, govern, and effectively use their data across systems and platforms.

Includes:

• Business glossary development and management
• Data catalog implementation and configuration
• Technical and business metadata integration
• Data lineage identification and documentation
• Alignment with enterprise data platforms and analytics tools

We establish data quality frameworks that ensure data is accurate, consistent, and fit for use across operational systems, reporting, and analytics.

Includes:

• Data quality framework and rule development
• Definition of data quality dimensions (accuracy, completeness, consistency)
• Data profiling and assessment
• Issue identification, tracking, and remediation workflows
• Monitoring and reporting on data quality metrics