Data Segmentation

In Six Sigma we collect and analyze data in order to look for patterns that will help us understand the behavior of a process and where to focus our improvement efforts.  Prior to collecting the data, we need to think about how we want to analyze the data.  If we fail to collect the detail […] read more

Correlation and cause-and-effect

Correlation is the measure of the linear association between two independent variables.  For example, we might find that the square footage of a home and its sales price are highly correlated.  A larger home would have a higher sales price, and a smaller home would have a lower sales price.  This is an example of […] read more

On April 15th, 2015, posted in: Project Management by

Data Analytics 101 for BA’s, PM’s and Six Sigma Practitioners

Data analysis is growing by leaps and bounds. More and more, business analysts, project managers, and Six Sigma practitioners have access to more data. The key is how to derive useful information from the raw data. That is where data analytics comes in. TRUISM! Raw data is not fit for human consumption, but the information […] read more

Selecting Six Sigma Projects

One of the many keys to success when implementing Six Sigma is to select projects that will return the most benefit to the customers of the organization, the employees who work in the organization, and the owners of the organization.  The best projects are those that simultaneously benefit all three stakeholder groups in a positive […] read more

On February 17th, 2015, posted in: Project Management by