We, accountants, have some very sophisticated data analysis tools at our disposal, and it’s fun to experiment with the advanced formulae available in Excel and other programs.
However, data analysis is an iterative process and it is important to start with some simple analysis tools to highlight the key issues in the data before exploring those issues with more advanced tools.
That’s where this course – Data Analysis 101 - comes in. This course covers the four basic tools of data analysis that everyone working in an organization should know. These four tools will help you carry out the initial filtering of performance data in order to highlight the important trends and issues. Often these tools are not covered adequately in business or finance training and this course will give you a good grounding in these simple but immensely useful analysis tools.
Advanced analysis is often difficult to understand for people who are not financing or data experts. Using simple tools to draw out the main points in performance data will improve engagement with the data and will help drive discussions about the appropriate actions to take, rather than heated discussions about what the analysis actually means.
This course will help you get to the heart of understanding the performance data in your organization, and it will help you present that information to others in the organization so that the decisions made, and the actions taken, address the real issues affecting performance.
Major Topics Covered :
- Principles Of Process Management
- The Definition Of A Process
- Understanding The Process
- Working As One Team For Improvement
- Tools For Data Analysis That Works
- The Pareto Chart: Highlighting Priorities
- The Histogram: Showing The Range Of Performance
- The Run Chart: Showing Performance Over Time
- Understanding Variation
- The Control Chart : Highlighting The Variation In The Data