Data-Driven Decision Making & Business Analytics
Overview
Organisations collect more data than ever, but decisions are still often based on instinct. This course shows managers and analysts how to frame decisions as questions data can answer, analyse information correctly, avoid common statistical traps and turn analysis into clear recommendations.
Who should attend
Managers, analysts, planners, and professionals who use reports and data to make decisions.
Training methodology
Interactive presentations, practical exercises, case studies, group discussions, role-plays where relevant, and a personal action plan that participants apply in their own work.
Objectives
By the end of this course, participants will be able to:
- Frame business decisions as analytical questions
- Find, prepare and assess the quality of data
- Apply descriptive and diagnostic analysis
- Interpret results correctly and avoid common errors
- Present data-based recommendations to decision makers
Course outline
Day 1Data and Decisions
- Data-driven organisations
- From question to insight
- Types of analytics
- Decision traps
- Discussion
Day 2Working with Data
- Data sources
- Data quality checks
- Cleaning and preparing data
- Sampling basics
- Hands-on exercise
Day 3Descriptive Analysis
- Averages and spread
- Trends and comparisons
- Segmentation
- KPIs and benchmarks
- Analysis lab
Day 4Diagnostic Analysis
- Correlation versus causation
- Root cause with data
- Simple experiments
- Statistical significance in plain terms
- Case study
Day 5From Insight to Action
- Building the recommendation
- Communicating with charts
- Handling uncertainty
- Data culture
- Final presentations
