Are you unsure what data you need to make informed, intelligent decisions about your organization’s processes? Having reliable data is vital for properly measuring processes. Understanding and correctly applying key data collection concepts will ensure that you implement cost-effective data collection practices within your organization.

Learn about different types of data.  Become adept at assessing processes to determine the most appropriate and cost-effective ways to collect data.  Pinpointed data collection will help you identify areas of improvement in order to lower costs and achieve higher efficiency in your organization.

Course Objectives

• Appreciate the importance of reliable data in examining process performance.
• Learn ways to organize data in order to gain knowledge about process performance.
• Recognize the different types of data and their characteristics.
• Understand the importance of operational definitions when dealing with data.
• Learn how to determine sample size in order to get the necessary data at the lowest possible cost.
• Learn how to conduct an analysis of your measurement system to ensure reliability of your data. 

Main Topics

• The data collection process
• Data stratification
• Types of data (continuous and discrete)
• Operational definitions
• Sampling approaches
• Determining sample size
• Population vs. process sampling
• Validating the measurement system
• Gage R&R studies
• Attribute agreement analysis

Who Should Attend

Managers and professionals engaged in collecting and analyzing process data in order to improve the effectiveness and efficiency of their organization’s processes, as well as associated quality, laboratory, and inspection professionals, and manufacturing, process, and industrial personnel. Also valuable for anyone involved in a Lean and/or Six Sigma deployment.

This course requires the use of MinitabTM statistical software; attendees are responsible for bringing laptops with MinitabTM 15 to the class.

CEUs: 2.5
Number of Days: 3