Insurance Analytics: Pricing, Claims & Telematics
Price risk from behaviour and data instead of tradition and proxies.
The executive challenge
The problem this program solves
Data arrives in abundance, but insurance analytics decisions still travel by opinion. The meetings are longer, the decks are thicker — the judgement is no better. Meanwhile, regulators are moving from encouragement to scrutiny — ungoverned insurance analytics is becoming a supervisory finding, not a technicality. In five days you build the diagnostic, the decision architecture and the roadmap that turn insurance analytics from a cost centre into a decision advantage.
Context
Why this matters now
Capability
What you will be able to do
- Evaluate where insurance analytics creates economic value across the organisation — and where it reliably does not.
- Read insurance analytics evidence — dashboards, model outputs, vendor claims — and know exactly what to trust.
- Construct a insurance analytics roadmap sequenced by value, feasibility and risk.
- Defend a insurance analytics investment case before a board that has been disappointed before.
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 Insurance Analytics Model Nobody Can Explain
A a pan-African retail bank deployed a insurance analytics 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™
Three functions at a regional telecommunications group report three different truths about the same insurance analytics question.
Dataset: Synthetic multi-source insurance analytics dataset — finance, operations and customer tables that disagree.
Your task: Reconcile the sources, build the single defensible view, and decide which dashboard the executive committee keeps.
A reconciled insurance analytics decision view and the data architecture behind it.
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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