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

Business Intelligence with Power BI and Excel

Build dashboards, models, and reports with Power BI and Excel.

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

Your organisation has run business intelligence pilots for two years. None has reached production, the pilot budget is now a permanent line item, and the board has started asking what it actually bought. Careers stall on the same failure: brilliant business intelligence pilots, no adoption, no measurable value. The programme teaches the craft behind business intelligence: asking the right question, demanding honest evidence, and landing the change.

Context

Why this matters now

The talent your business intelligence agenda needs is mobile and international; institutions without a credible strategy hire it last and lose it first.
Competitors are already industrialising business intelligence into pricing, credit, service and operations; waiting is a strategy, just rarely a winning one.
The cost curve of business intelligence has inverted: the expensive mistake is no longer experimenting too much, it is institutionalising nothing.

Capability

What you will be able to do

  • Evaluate where business intelligence creates economic value across the organisation — and where it reliably does not.
  • Read business intelligence evidence — dashboards, model outputs, vendor claims — and know exactly what to trust.
  • Construct a business intelligence roadmap sequenced by value, feasibility and risk.
  • Defend a business intelligence 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 Business Intelligence Model Nobody Can Explain

A a regional telecommunications group deployed a business intelligence 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™

A a fast-scaling e-commerce platform suspects its business intelligence spending is aimed at the wrong customers — and the intuition cannot yet be defended in the boardroom.

Dataset: Synthetic business intelligence 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 business intelligence decision memo backed by an analysis you built and can defend.

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 business intelligence 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 business intelligence 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 business intelligence analysis stands on the same interoperable foundation.

Phase 3

Automate

Replace manual, error-prone steps with automated pipelines: ingest, clean and transform business intelligence 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 business intelligence 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 business intelligence 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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