Data Sharing, Open Data & Interoperability Strategy
Share data across institutions without surrendering advantage or privacy.
The executive challenge
The problem this program solves
The data sharing initiative reports activity — dashboards shipped, models trained, workshops held — while the P&L cannot name a single decision it changed. Executives who cannot arbitrate between competing analytical claims end up outsourcing judgement to whoever presented last. This is where data sharing stops being a technology conversation and becomes an executive discipline you can defend in any boardroom.
Context
Why this matters now
Capability
What you will be able to do
- Evaluate where data sharing creates economic value across the organisation — and where it reliably does not.
- Govern data sharing models and data with controls that satisfy both boards and regulators.
- Price the build, buy and partner options for data sharing capability with real economics.
- Distinguish data sharing automation opportunities from decisions where human judgement remains strategically important.
The IPAT Course Standard
The five-day journey
Each day is a deliberate progression in managerial capability — from strategic context, to analytical frameworks, to applied practice, to executive judgement under pressure, to a capstone that produces something your organisation keeps.
IPAT Signature Case™
The Data Sharing Model Nobody Can Explain
A a national revenue authority deployed a data sharing model into daily operations. It performs — until a customer dispute, a journalist and the regulator arrive in the same week, and no one can reconstruct why the model decided what it decided.
Your decision: Pause the model pending an explainability rebuild, defend it as deployed, or restrict it to advisory use — each response signals something different to the regulator, the market and your own staff.
IPAT Data Lab™
A a fast-scaling e-commerce platform suspects its data sharing spending is aimed at the wrong customers — and the intuition cannot yet be defended in the boardroom.
Dataset: Synthetic data sharing panel for a fast-scaling e-commerce platform: the tables, formats and quality gaps your team would find on day one.
Your task: Structure the data, segment and score it, and translate the model into one operating decision about where the money should go.
A data sharing decision memo backed by an analysis you built and can defend.
Data → Analysis → Decision, not Data → Code → Certificate
Day 5 · The Capstone
What will you change when you return to work?
Build a twelve-month analytical and AI roadmap for your organisation: the value case, the data foundations, the governance, and the first 90 days.
Methodology
Frameworks you will master
- • IPAT Data-to-Decision Framework™
- • IPAT Executive Capability Model™
- • Value-versus-feasibility portfolio analysis
- • CRISP-DM analytical lifecycle
- • Model risk management principles (SR 11-7 adapted)
Cohorts
Upcoming cohorts
New dates are being scheduled
Register with your preferred start date and our admissions team will match you to the next available cohort — or contact us to arrange an in-house delivery for your organisation.
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