Strategic Data Management

Data Strategy & Governance

Develop comprehensive data strategies that maximize your existing data assets and infrastructure—with FedRAMP platform recommendations only when new capabilities align with mission objectives and compliance requirements. Transform data from a cost center into a strategic asset.

Request Strategy AssessmentView Case Studies

Our Methodology

6-Week Strategy Assessment

Comprehensive data strategy development with 3-year implementation roadmap

1
Phase 1

Current State Assessment

Duration: 2-3 weeks
  • Inventory existing data assets, systems, and stakeholders
  • Assess data quality, governance maturity, and compliance gaps
  • Document pain points, quick wins, and strategic opportunities
  • Benchmark against industry standards and best practices
2
Phase 2

Strategy Development

Duration: 3-4 weeks
  • Define data vision, principles, and strategic objectives
  • Develop data governance framework and operating model
  • Create 3-year implementation roadmap with milestones
  • Identify quick wins for immediate value demonstration
3
Phase 3

Governance Framework Implementation

Duration: 4-6 weeks
  • Establish data governance council and stewardship roles
  • Implement data quality rules and monitoring processes
  • Deploy data catalog and metadata management tools
  • Create policies for data access, security, and retention
4
Phase 4

Operationalization & Adoption

Duration: 2-4 weeks
  • Train data stewards and governance council members
  • Launch governance processes and monitoring dashboards
  • Establish continuous improvement mechanisms
  • Document lessons learned and success metrics

Strategy Components

Comprehensive Data Strategy Framework

End-to-end strategy covering vision, governance, quality, and implementation

Data Vision & Principles

Clear articulation of how data will drive mission outcomes and decision-making

Best For:
Executive alignment, cultural transformation, strategic planning

Governance Operating Model

Roles, responsibilities, and processes for managing data as a strategic asset

Best For:
Accountability, compliance, data quality improvement

Data Quality Framework

Standards, metrics, and processes for measuring and improving data quality

Best For:
Analytics accuracy, regulatory compliance, operational efficiency

Metadata Management

Data catalog, business glossary, and lineage tracking for data discovery

Best For:
Self-service analytics, impact analysis, compliance reporting

Data Security & Privacy

Policies and controls for data classification, access, and protection

Best For:
FISMA compliance, PII protection, insider threat prevention

Implementation Roadmap

3-year phased plan with milestones, dependencies, and resource requirements

Best For:
Budget planning, stakeholder alignment, progress tracking

Maturity Model

Data Governance Maturity Levels

Assess your current state and chart a path to data-driven excellence

1

Level 1: Initial

Ad-hoc data management, no formal governance, inconsistent quality

No data ownershipReactive quality fixesSiloed data
2

Level 2: Managed

Basic governance in place, some data stewards, quality metrics defined

Defined ownershipQuality monitoringBasic catalog
3

Level 3: Defined

Enterprise governance framework, active stewardship, proactive quality

Governance councilQuality standardsMetadata management
4

Level 4: Optimized

Data-driven culture, continuous improvement, strategic data asset management

Data as assetPredictive qualitySelf-service analytics

Success Story

Real-World Strategy Implementation Results

Federal Civilian Agency

Challenge

The agency had no enterprise data strategy—each bureau managed data independently with inconsistent quality, no governance, and duplicate systems costing $15M annually.

Solution

Developed comprehensive data strategy with governance framework, established data governance council, and implemented data catalog across all bureaus.

$8M
Annual cost savings
40%
Data quality improvement
6 months
Strategy to implementation
12
Bureaus unified

What You Receive

Strategy Engagement Deliverables

Data Strategy Document

40-60 pages

Comprehensive strategy including vision, principles, objectives, and 3-year roadmap aligned with mission priorities.

Governance Framework

50-75 pages

Operating model, roles and responsibilities, policies, standards, and procedures for enterprise data governance.

Data Quality Playbook

30-40 pages

Data quality dimensions, metrics, monitoring processes, and remediation procedures.

Implementation Roadmap

25-35 pages

Detailed 3-year roadmap with quarterly milestones, resource requirements, and success metrics.

Ready to Transform Data Into a Strategic Asset?

Schedule a complimentary consultation to discuss your data strategy needs and learn how we can help you build a data-driven organization.

Schedule Free ConsultationBack to Data Analytics