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

Advanced Excel Analytics: Power Query, Power Pivot & DAX

Move beyond spreadsheets to Excel's modern analytics engine.

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

Data arrives in abundance, but advanced excel analytics decisions still travel by opinion. The meetings are longer, the decks are thicker — the judgement is no better. Careers stall on the same failure: brilliant advanced excel analytics pilots, no adoption, no measurable value. This is where advanced excel analytics stops being a technology conversation and becomes an executive discipline you can defend in any boardroom.

Context

Why this matters now

The talent your advanced excel analytics agenda needs is mobile and international; institutions without a credible strategy hire it last and lose it first.
The cost curve of advanced excel analytics has inverted: the expensive mistake is no longer experimenting too much, it is institutionalising nothing.
Regulators across African markets are moving from encouragement to scrutiny: advanced excel analytics governance, data protection and accountability are becoming supervisory topics.

Capability

What you will be able to do

  • Evaluate where advanced excel analytics creates economic value across the organisation — and where it reliably does not.
  • Govern advanced excel analytics models and data with controls that satisfy both boards and regulators.
  • Price the build, buy and partner options for advanced excel analytics capability with real economics.
  • Distinguish advanced excel analytics 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™

Six Weeks to Prove Advanced Excel Analytics

A newly appointed chief data officer at a national revenue authority inherits a advanced excel analytics mandate, one budget cycle to show value, and three functions that each claim ownership of the same dataset. The CEO wants a decision improved this quarter — not a strategy deck.

Your decision: Choose the single advanced excel analytics initiative worth proving in six weeks, name what gets stopped to fund it, and decide who owns the result.

Value map of candidate advanced excel analytics initiativesData readiness by functionSix-week delivery options

IPAT Data Lab™

Three functions at a pan-African retail bank report three different truths about the same advanced excel analytics question.

Dataset: Synthetic multi-source advanced excel 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 advanced excel analytics 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 advanced excel analytics 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 advanced excel analytics 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 advanced excel analytics analysis stands on the same interoperable foundation.

Phase 3

Automate

Replace manual, error-prone steps with automated pipelines: ingest, clean and transform advanced excel analytics 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 advanced excel analytics 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 advanced excel analytics 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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