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Statistical Process Control (SPC) includes a set of analytical techniques used to measure and detect abnormal changes in the behavior of a process that is being managed. SPC helps managers respond to unexpected changes in critical variables and take corrective action as necessary to maintain the desired levels of product quality and process performance over time. SPC has been successfully applied to a wide range of business, technology and production processes that all have measurable outputs. It is based on the application of statistical techniques implemented in the form of control charts used to monitor the variation of important process variables or attributes.

The reduction in variation of process behavior is critical for improving both process and product quality. Successful implementation of SPC requires management commitment to continuous process improvement over time. SPC tools provide measurement and analytical inputs to an overall Quality Management framework.

This online training course provides an introduction to the concepts, techniques and applications of SPC within the context of information management practices and processes. The theory of SPC is introduced and the design of control charts is discussed as a basis for describing how a diverse range of data and process quality management challenges can be addressed.

• The concept and theory of what “statistical control” means
• How to identify and categorize major causes of process variation
• How statistical methods are used to measure process variation
• How process variation is related to product quality
• How to identify the differences between process variables and process attributes
• How to use control charts to detect and generate process alarms
• How to apply SPC to a diverse set of information management challenges

• Data Quality Analysts
• Data Integration Specialists
• Process Improvement Analysts
• Business Analysts
• Data Warehousing Team Members
• BI Program Managers and Team Members
• Functional Business Managers
• Anyone with a desire to learn how statistical concepts can be applied to improve the quality of data and information and its various management processes