Poor information quality costs organizations ten to twenty percent of total sales or revenue in the form of process failure and “information scrap and rework.” These costs are real and direct costs equivalent to manufacturing scrap and rework. Lost and missed opportunity costs as a result of poor information quality can be even greater than that. You learn the quality principles that must be applied to both business processes and information systems processes to achieve effective business performance. You learn how to measure and improve information quality to reclaim the lost profits of poor quality information. This course provides guidelines for implementing a Total Information Quality Management 2011 (TIQMtm) environment to create a “Center of Excellence” and sustain an information quality environment for business effectiveness. W. Edwards Deming’s 14 Points of Quality provide the basis for defining an information quality management environment. You learn management techniques for implementing sustainable information quality improvement. Illustrations show leading-edge best practices that result in business effectiveness and competitive advantage.
What you will learn
Define information quality and its three components
Identify information customer-supplier relationships
Describe categories of information quality tools and how to use them
Describe how to measure information definition quality
Identify how to measure information (content) quality
Describe how to measure costs of poor quality information
Describe how to reengineer and correct data and implement audits and controls for data transformation and movement
Conduct an information quality process improvement initiative
Describe how to conduct an information quality maturity assessment and gap analysis
Describe how to organize and manage an information quality environment
Describe best practices for information quality management
Main Topics
Defining Information Quality (IQ)
Applying Quality Principles to Information
Information Quality Tools and Processes
Assessing Data Definition and Information Architecture Quality
Assessing Information Quality
Measuring the Costs of Poor Quality Information and the Value of Quality Information
Improving Information Product Quality: Data Reengineering & Correction (Cleansing)
Improving Information Process Quality: Data Defect Prevention
Implementing and Sustaining an Information Quality Improvement Environment
