Data-Driven Analysis and Decision Making
This course equips participants with practical analytical tools and structured thinking processes to transform raw information into clear insights, enabling them to influence outcomes and drive sustainable improvements in their organisations.
Programme Overview
Many workplaces rely on assumptions and intuition, leading to inefficiencies and preventable mistakes. This course addresses the challenge by equipping participants with practical analytical tools and structured thinking processes to transform raw information into clear insights. Through hands-on exercises and proven frameworks, learners will discover how to analyze trends, validate causes, plan improvements, and confidently monitor results. By applying data-driven methods, participants gain clarity, accuracy, and greater confidence in decision-making, enabling them to influence outcomes and drive sustainable improvements within their organizations.
Learning Outcomes
Define workplace problems clearly with structured questioning
Collect and organise data effectively for accurate insights
Use analytical tools to identify patterns and performance gaps
Apply root cause analysis to uncover true issues
Develop practical, testable solutions guided by data
Monitor improvements using charts and indicators to support confident decisions
Who Should Attend?
Professionals in production, quality, and technical fields
Managers overseeing corrective actions or system improvement
Team leaders needing strong analytical skills
Individuals involved in data analysis
Course Outline
Day 1 (9:00 AM to 5:00 PM)
Module 1: Introduction to Data-Driven Decision Making & Problem Definition
- Define Problem (Ask Question)
Module 2: Understanding the Current Situation Through Data
- Check Sheets with Case Study exercise
- Histogram with Case Study exercise
- Pareto Analysis with Case Study exercise
Module 3: Cause Analysis and Hypothesis Formulation
- Use of the Five Why's
- Use of the Ishikawa Diagram
- Combining both tools with Case Study exercise
- Scatter Diagram with Stratification
- Case Study exercise
Day 2 (9:00 AM to 5:00 PM)
Module 4: Developing Testable Solutions & Predictions
- Brainstorming Ideas
- Use of the Process Map / Flow Chart with Case Study exercise
- The SIPOC
- Plan Do Check Act
- Use of the Control Chart with Case Study exercise
Module 5: Checking Results and Standardisation
- Check Results (Test Predictions)
- Standardisation (Analyse Results)
Module 6: Future Planning and Reporting
- Future Plan (Report Results)