We, accountants, have some very sophisticated data analysis tools at our disposal, and it is 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 is 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.
I hope you enjoy the course.
Who this course is for:
Business managers
Accountants
CFOs
Accounting students
Finance staff
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SKILLS YOU WILL GAIN
Principles of Process Management
Understanding Variation
A Structure for Performance Management
Control Chart Special Cases
WHAT YOU WILL LEARN
An Introduction to Performance Data: Tools for Data Analysis that Works
The Control Chart: Highlighting the variation in data
Interpreting the Control Chart
Using Data to Drive Improvement