Duration: 3h
Modality: In-person or Remote
Intended Audience:
Chief Data Officers, data leaders, business strategists, analytics managers, and senior executives responsible for defining and implementing data-driven initiatives.
Brief Description:
This course explores how to plan and execute a comprehensive data strategy that aligns with corporate objectives, maximizes the value of data assets, and overcomes common pitfalls. Participants will learn proven frameworks—from strategy fundamentals to road-mapping and governance—and gain hands-on experience with tools and templates to drive real-world impact.
Key Topics:
- Fundamentals of corporate strategy (vision, mission, objectives, resource allocation, prioritization)
- Defining a data strategy: purpose, objectives, and strategic pillars
- The Data Strategy Canvas: gap analysis, roadmap development, and initiative prioritization
- Organizational and operating models for data & AI teams (centralized, federated, hybrid)
- Identifying and mitigating common failure factors (silos, unclear objectives, lack of sponsorship)
- Deploying a living strategy: cycle times, two-phase rollout (immediate vs. maturity-driven), and iteration
- Metrics and governance: KPIs, SLAs, maturity assessments, and change management
- Tools and templates: strategic analysis, assessment frameworks, and data innovation canvases
Long Description:
This comprehensive workshop begins by grounding participants in the core principles of corporate strategy—clarifying vision, mission, strategic objectives, and effective resource allocation. We then translate these concepts into the realm of data by exploring the six pillars of a successful data strategy: operational efficiency, decision-making processes, people and talent, data catalog, security and ethics. Using the Data Strategy Canvas, attendees will conduct a current-state gap analysis, build a prioritized roadmap of initiatives, and calibrate data-driven projects against business goals.
Participants will examine a two-phase approach:
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Immediate Data Strategy – Stabilize existing data environments, formalize the Chief Data Office, and launch quick-win initiatives.
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Structured Data Strategy – Develop a systematic, maturity-driven framework that evolves toward a fully data-driven organization.
Through real-world case studies, group exercises, and hands-on use of strategic templates, learners will master how to:
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Align data actions with company strategy and tactical needs
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Design cross-functional “team of teams” structures to manage complexity
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Anticipate and overcome organizational resistance and legacy barriers
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Define and monitor success using KPIs, maturity models, and governance processes
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Leverage modern tools (strategic canvases, assessment frameworks, innovation playbooks) to sustain continuous improvement
By the end of the course, participants will be equipped to lead the end-to-end data strategy lifecycle—from vision and planning through execution and iterative refinement—transforming data from a liability into a strategic asset.