Data and Information Quality
Poor data 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 data 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.
- Defining Information Quality
- Applying Quality Principles to Information Management
- Information Quality Tools and Processes
- Measuring Data Definition Quality
- Measuring Data Content Quality
- Reengineering and Cleansing Data
- Measuring Information Value and Non-Quality Data Costs
- Improving Information Quality
- Implementing and Sustaining a Information Quality Improvement Environment