INTERMEDIATE · 5 DAYS · FULLY FUNDED

Data Analytics & AI for Business Decision Making

Less about building dashboards, more about reading them. The strategic counterpart to Power BI — for the people setting the questions, not answering them.

DURATION
5 days
~40 hours total
FORMAT
In-person or online
Maesteg · Bridgend
LEVEL
Intermediate
Managers
COST
£0 to you
100% ReAct+ funded
// About this masterclass

What you'll learn in five days.

Organisations that use data to make decisions consistently outperform those that don't. But most managers have never been taught how to actually interpret data, set KPIs, or use AI for forecasting.

This isn't a technical course — it's a strategic one. You'll learn to think in data, set the right questions, interpret analytics, and use AI to forecast outcomes.

If you manage people, run a business, or make decisions that affect revenue or operations, this course changes how you work.

40h
Intensive training
5
Hands-on labs
3
Portfolio deliverables
1:6
Tutor ratio max
// Day-by-day curriculum

Five days. Five outcomes. One transformed career.

Mornings are taught sessions, afternoons are hands-on labs where you build something real.

DAY
01

Data Literacy Foundations

What data literacy actually means for leaders — moving beyond gut instinct to evidence-based decision making.

  • Data literacy for decision makers
  • Types of analytics (descriptive to prescriptive)
  • Statistical thinking without stats
  • Data quality & bias
  • Welsh data landscape
  • Building data-informed teams
LAB
Audit your current decision-making process for data gaps
DAY
02

Business Intelligence Strategy

Setting up the questions, metrics and frameworks that turn raw data into competitive advantage.

  • KPI frameworks & OKRs
  • Balanced scorecard approach
  • Data strategy templates
  • Competitor benchmarking
  • Market analysis basics
  • BI tool landscape overview
LAB
Design a KPI framework for a Welsh business case study
DAY
03

Predictive Analytics & Forecasting

Looking forward, not backward. Regression, time series, and the AI forecasting tools available without coding.

  • Predictive vs descriptive analytics
  • Regression concepts for managers
  • Time series forecasting
  • AI forecasting tools (no code)
  • Scenario planning
  • Risk & uncertainty
LAB
Build a sales forecast using AI-powered analytics tools
DAY
04

Customer & Operational Analytics

The specific analytics that drive revenue and efficiency — customer segmentation, churn, operational KPIs.

  • Customer segmentation
  • Churn analysis & retention
  • Lifetime value calculation
  • Operational efficiency metrics
  • Supply chain analytics basics
  • A/B testing fundamentals
LAB
Segment customers and identify retention opportunities
DAY
05

Building a Data Culture

The hardest part isn't the tools — it's getting the organisation to actually use data. Change management for analytics.

  • Data culture assessment
  • Storytelling with data
  • Presenting to senior leaders
  • Data governance for managers
  • AI decision support systems
  • Your personal data strategy
CAPSTONE
Present a data strategy and business case for investment
// What you'll walk away with

Three real projects. One transformed CV.

DELIVERABLE_01

Data Strategy for Your Business

A complete data strategy document — priorities, tools, governance, and a roadmap for building a data-informed culture.

DELIVERABLE_02

Predictive Forecast

A working AI-powered forecast for your business or sector — the kind of analysis that impresses in board rooms.

DELIVERABLE_03

KPI Framework

A documented KPI framework with OKRs, measurement plan, and dashboard specification ready for implementation.

// Is this for me?

Honest about who this works for.

Best for: Managers · SMEs · analysts · entrepreneurs

This is for you if…

  • Managers who make decisions based on instinct and want data
  • SME owners who know their data is underused
  • Analysts who want to move into strategic advisory roles
  • Entrepreneurs planning fundraising or growth
  • Anyone who reads reports but wants to read them better

This is not for you if…

  • You want hands-on technical Power BI or SQL training (try our Power BI course)
  • You're already a data scientist or analytics director
  • You want purely academic statistics training
  • You need real-time coding or development skills

Your next chapter starts a week on Monday.

Five days is all it takes. Reserve your spot on the next cohort.