Data Strategy

• Familiarity with the role of data in public services
• An understanding of organizational or departmental objectives
• Interest in using data to improve decision-making and operations

Audience

• Government data stewards and analysts
• Policy advisors and strategic planners
• Departmental managers involved in digital transformation

Data Strategy is the long-term plan for how an organization will manage, use, and invest in data to drive its mission, improve public services, and ensure accountability.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in data strategy who shape or influence strategic decisions and wish to develop sustainable, mission-aligned data strategies across their organization or department.

By the end of this training, participants will be able to:

• Define key elements of a comprehensive data strategy.
• Align data initiatives with organizational objectives and public value.
• Develop roadmaps for data governance, infrastructure, skills, and innovation.
• Evaluate maturity and progress toward becoming a data-driven organization.

Format of the Course

• Interactive lecture and discussion.
• Hands-on development of strategy components and roadmaps.
• Guided analysis of public sector case studies and strategic frameworks.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

What Is a Data Strategy?

• Definitions and value of data strategy in government
• Types of strategies: enterprise-wide vs. departmental
• Data maturity models and strategic goals

Aligning Strategy with Mission and Outcomes

• Linking data use to service delivery and transparency
• Identifying use cases and priority areas
• Setting measurable objectives and KPIs

Governance, Leadership, and Organizational Readiness

• Data governance foundations
• Establishing ownership, stewardship, and accountability
• Culture and leadership for data-driven change

Infrastructure and Technology Planning

• Assessing current systems and tools
• Data platforms and integration
• Security, privacy, and compliance considerations

Data Skills and Workforce Development

• Identifying skills gaps and training needs
• Building data literacy across departments
• Recruitment and capability planning

Innovation, Analytics, and Future Readiness

• Using advanced analytics, AI, and automation strategically
• Partnering with academia, vendors, and other agencies
• Ensuring adaptability and innovation at scale

Summary and Next Steps