Data Strategy for the AI Era
Sequence data foundations so every later analytics and AI initiative costs less.
The executive challenge
The problem this program solves
The data strategy initiative reports activity — dashboards shipped, models trained, workshops held — while the P&L cannot name a single decision it changed. Careers stall on the same failure: brilliant data strategy pilots, no adoption, no measurable value. You leave with the frameworks to commission work on data strategy, interrogate its outputs and govern it with the discipline applied to any other capital allocation.
Context
Why this matters now
Capability
What you will be able to do
- Price the build, buy and partner options for data strategy capability with real economics.
- Govern data strategy models and data with controls that satisfy both boards and regulators.
- Evaluate where data strategy creates economic value across the organisation — and where it reliably does not.
- Read data strategy evidence — dashboards, model outputs, vendor claims — and know exactly what to trust.
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 Strategy Model Nobody Can Explain
A a pan-African retail bank deployed a data strategy 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 pan-African retail bank suspects its data strategy spending is aimed at the wrong customers — and the intuition cannot yet be defended in the boardroom.
Dataset: Synthetic data strategy panel for a pan-African retail bank: 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 strategy 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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