Processes and Best Practices for Business Performance Excellence

Poor information quality costs organizations ten to twenty percent of total sales or revenue. These costs are real and direct costs that are the equivalent of manufacturing scrap rework. Lost and missed opportunity costs as a result of poor information quality can easily be greater than that.

This seminar describes the quality principles that must be applied to both business processes and information systems processes to achieve world class performance. It outlines how to measure and improve information quality to reclaim the lost profits of poor quality information.

This course provides guidelines for a Total Information Quality Management (TIQM™) environment to sustain an effective information quality environment for business effectiveness.

W. Edwards Deming’s fourteen 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.

TIQM is a trademark of INFORMATION IMPACT International, Inc.

Upon completion of this seminar, you will be able to:

• Quality and information
• Customer satisfaction as business driver
• Defining information quality
• Dispelling myths about IQ

2. Applying Quality Principles to Information

• The information product
• Kaizen, TQM and business excellence principles
• Identifying information " customers"
• Customer "expectations" of their information product

3. Information Quality Tools and Processes

• Categories of IQ tools
• IQ tools in the TIQM process
• Total Information Quality Management (TIQM) process overview

4. Assessing Data Definition and Information Architecture Quality

• Data definition quality characteristics
• Measures for data definition quality
• Three categories of data definition quality assessment
• Quality Function Deployment: designing quality in data models

5. Assessing Information Quality

• Information quality characteristics
• Applying statistical quality control (SQC) to information
• Six sigma and information quality
• Measures for information quality
• Guidelines for effective statistical sampling
• Electronic information quality assessment for validity
• Physical information quality assessment for data accuracy
• Guidelines for effective information quality assessment reporting
• Information quality certification

 

6. Measuring the Costs of Nonquality Information and the Value of Quality Information

• Calculating information costs
• Customer lifetime value as a measure of information value
• Calculating cost of nonquality information cost
• Calculating quality information value

 

7. Improving Information Product Quality: Data Reengineering and Correction (Cleansing)

• Defining a data clean-up strategy
• Identifying data sources
• "Discovering" business rules in legacy data
• Mapping, transforming, and cleansing legacy data
• Audits and controls for ETL processes

 

8. Improving Information Process Quality: Data Defect Prevention

• The Plan-Do-Check-Act cycle for information quality improvement
• Using cause-and-effect diagrams for data defect cause identification
• Planning and implementing process improvements for information quality
• Measuring quality improvements effectiveness
• From quality assurance to continuous quality improvement
• Quick wins for immediate information quality improvement

 

9. Implementing and Sustaining an Information Quality Improvement Environment

• Information quality management maturity grid
• Conducting an information quality maturity assessment and gap analysis
• Deming's fourteen points of quality applied to information
• Facilitating and enabling culture change
• Changing the performance measures
• Organizing for information quality
• Action steps to TIQM success