Session 3: How to Become an Attribute Data Detective - Seguridad Mania.com - España y América Latina

Overview

Process exploration and analysis for an attribute output can be tricky. As with all process improvements, we must implement change in a way that is sustainable, and be confident the change was successful. First, we must try to understand how the process currently functions by collecting and visualizing data on the process. Then we need to analyze the impact of each potential X (input) on Y (output). But does all of this work if we are counting things rather than measuring them?

In sessions 1 and 2 of this series, we focused on understanding and analyzing variable data. In this 90-minute session we will discuss historical attribute data and, using a case study, we will explore what the data does and does not tell us. We will introduce specific statistical and graphical tools that process improvement practitioners can utilize to provide insights into their baseline process and identify root causes.