Course overview
Wrong assumptions
- What are the foundations of bad data?
- What wrong assumptions do we make?
- Why do we assume we know the answer?
- Why do we assume cause and effect?
- What are the problems with targets?
- What are the problems with ranking performance?
Confusing data presentation
- What types of data presentation can cause confusion?
- What's the problem with using single-point
comparisons?
- Why aren't Red, Amber, Green displays useful?
- What are the risks of using ratios and percentages?
- What are the problems with averages and rolling
averages?
- Why aren't pie charts useful for measuring
performance?
- Why should we avoid using spider diagrams?
- How can too much or too little data cause confusion?
- How can measuring productivity drive bad data?
Effective data presentation
- What are the principles of good data analysis?
- What are the tools of clean data?
- What is a run chart?
- What does a control chart show?
- What can a control chart tell us about variation?
- How do we construct a control chart?
- How should we express percentages and ratios?
- What is the Pareto chart?
- What do histograms show?
- How do these tools aid effective performance analysis?
Using data to improve performance
- How do we analyse performance data?
- How do we monitor cost control?
- How do we improve cost control?
- What is the structure for performance management?