Business Intelligence and Analytics

Join Rick in this webinar, where he will share lessons learned from years of analysis and coaching improvement projects. We will discuss the different considerations involved in the collection of representative data to make a decision, whether it is for a LSS project, a process control initiative, or the creation of enterprise performance scorecards. The goal is to effectively collect the smallest amount of data to make the decisions that are needed. This webinar will provide you with some of the rules and guidelines that will allow you to collect data on a process in an optimal method for the purpose you need. It is not true that more data is always good. You will learn how different sample periods and different sampling plans will be able to improve your ability to support a decision with a minimal amount of data. The topics covered will benefit practitioners in all environments, from large automatically collected data sets, to ones where you must manually collect any data you will need.

The Lean Six Sigma toolset is not very efficient in addressing root cause identification for an single event (special-cause event) or problem, it works best to address chronic (common-cause problem) issues. That should not imply that there are not Lean Six Sigma tools that can be used to support a root cause analysis or corrective action effort. In this webinar we will show you a set of Lean Six Sigma tools that can be applied to these efforts, which may seem familiar to an RCA practitioner but they have different names in Lean Six Sigma. We will work through a general corrective action event and show how the Lean Six Sigma practitioner can use their skills to quickly determine the root causes in a method that everyone will understand. Take-aways: – Identify the Lean Six Sigma DMAIC tools that are beneficial in a RCA; – Describe how the use of the DMAIC tools overcome one of the great weaknesses in RCA.