Data & AI Training
Data Strategy vs Data Governance
A practical introduction to what data strategy really means, how it differs from governance and how it connects directly to business outcomes.
Overview
This session defines what a data strategy is in clear, business language. It explains how strategy differs from governance, why it matters and how it links directly to Gate 1: Business Outcomes in the 8 Gate framework.
The focus is on helping leaders and practitioners develop a shared understanding of what they are aiming for before investing in platforms, tools or new teams.
Who it is for
- Executives and senior leaders responsible for digital, data or AI.
- Heads of Data, CIOs, CTOs and CDOs needing a clear narrative for stakeholders.
- Business owners, product managers and operational leaders involved in data projects.
What you will learn
- The difference between data strategy, data governance and data management.
- How to frame data strategy in terms of measurable business outcomes.
- How data strategy connects to the 8 Gate framework, especially Gate 1 and Gate 7.
- Common pitfalls (and myths) that slow down data and AI programmes.
Agenda
- Setting the context: what problem are we solving with data.
- Defining data strategy in plain language.
- Strategy vs governance vs platforms.
- Introducing the 8 Gate framework and Gate 1: Business Outcomes.
- Examples of good and bad data strategies.
- Q&A and discussion on your context.
Delivery and format
This course is typically delivered as a 1 hour live, interactive virtual session. It can also be extended into a 2 hour workshop or half day format with tailored exercises using your own business context.
- Format: Live virtual or on site.
- Group size: Up to 25 participants per session recommended.
- Recording: Available on request, subject to client policies.
Next steps
This course is often combined with
Building a Data Strategy Roadmap (DS2) and
Key Pillars of a Modern Data Strategy (DS3) as part of a leadership
foundations series.
