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AI & Decision Intelligence5-day executive programUSD $1,999

Analytics Operating Models & Centres of Excellence

Organise analytics so it compounds instead of fragmenting.

IPAT Executive Certificate 5 intensive days CEOs, CIOs/CDOs, heads of analytics, product, operations and strategy; regulators and policy leaders responsible for digital and AI supervision.

The executive challenge

The problem this program solves

A vendor promised that your analytics operating models programme would transform the institution in ninety days. Eighteen months later, the invoices keep arriving and the transformation is still a slide. Institutions that cannot show return eventually cut the capability — and then pay consultants to rebuild what they dismantled. This is where analytics operating models stops being a technology conversation and becomes an executive discipline you can defend in any boardroom.

Context

Why this matters now

Competitors are already industrialising analytics operating models into pricing, credit, service and operations; waiting is a strategy, just rarely a winning one.
The cost curve of analytics operating models has inverted: the expensive mistake is no longer experimenting too much, it is institutionalising nothing.
Every quarter of analytics operating models hesitation compounds: the data decays, the pilots expire and the advantage consolidates around whoever moved first.

Capability

What you will be able to do

  • Commission analytics operating models work and interrogate its outputs with an operator’s confidence.
  • Distinguish analytics operating models automation opportunities from decisions where human judgement remains strategically important.
  • Price the build, buy and partner options for analytics operating models capability with real economics.
  • Govern analytics operating models models and data with controls that satisfy both boards and regulators.

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 Analytics Operating Models Model Nobody Can Explain

A a multinational insurer deployed a analytics operating models 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.

Decision audit trail extractRegulator correspondenceRebuild cost and timeline estimate

IPAT Data Lab™

Three functions at a regional telecommunications group report three different truths about the same analytics operating models question.

Dataset: Synthetic multi-source analytics operating models 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 analytics operating models decision view and the data architecture behind it.

Data → Analysis → Decision, not Data → Code → Certificate

IPAT DIOS™ Framework · Data Intelligence for Official Statistics & Organisations

From raw data to strategic intelligence in five phases

Software-led programmes at IPAT do not teach syntax — they teach statistical data architecture, the discipline that turns analytics operating models data into a strategic asset. The programme runs on the five-phase IPAT DIOS™ arc, adapted end-to-end to Power BI & Excel.

Phase 1

Assess

Diagnose the current state of analytics operating models data processing: a baseline of Power BI & Excel proficiency, data silos, manual bottlenecks and reproducibility gaps in the workflows your institution runs today.

Phase 2

Architect

Design standardized, reproducible data structures: consistent naming conventions, master schemas and version-controlled projects in Git, so every analytics operating models analysis stands on the same interoperable foundation.

Phase 3

Automate

Replace manual, error-prone steps with automated pipelines: ingest, clean and transform analytics operating models data with Power Query, Power Pivot and DAX, and automate with scheduled Power Query refreshes and DAX measures the routine reporting that consumes weeks of analyst time.

Phase 4

Analyze

Create decision intelligence: cross-tabulation with proper variance estimation, time-series visualization, geospatial mapping and predictive modelling — applied to realistic, anonymized analytics operating models data.

Phase 5

Accelerate

Build for what is next: AI-ready datasets, machine learning for imputation and estimation, and executive Power BI dashboards that put analytics operating models intelligence directly in decision-makers’ hands.

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.

You leave with: AI Transformation Roadmap

Methodology

Frameworks you will master

IPAT-proprietary methodology
  • • IPAT DIOS™ Framework
  • • IPAT Data-to-Decision Framework™
  • • IPAT Executive Capability Model™
Established practice you will apply
  • • 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.

Register your interest
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