Wednesday, April 26, 2006

7:15 am - 8:15 am

Level: Intermediate

As companies pay more attention and resources to measuring and improving Data Quality, it is important to have the capability to score, summarize, and report quality improvements using standard formats and processes. Standardization not only makes the concept of measuring quality understandable, it also allows disparate measurements to be compared and combined at all levels of detail. Additionally, it provides the ability to look at quality in innovative ways for analysis and improvements.

The methodology described in this presentation uses concepts and tools used in other areas but utilized for the first time to create a standardized quality score, or “S Score”. This methodology has been tried and proven, and the results are significant. By sizing, standardizing, scoring, and summarizing quality results, dramatic improvements in Data Quality have been demonstrated across Intel’s supply network.

Bob Gaede is the Logistics Data Quality Manager at Intel Corporation. He has worked in the Planning, Logistics, and Supply Chain groups at Intel for over 12 years. For the past 4 years he has focused on driving Data Quality into the organization through the development and implementation of standards, processes, and tools. As a Master Instructor for Data Quality, he trains other instructors and teaches classes worldwide. Most recently he has led the development of an online and an instructor-led Data Quality course for use across the corporation. Bob has a Master’s degree in Business from the Marriott School of Management at Brigham Young University and a Bachelor’s degree in Finance from San Jose State University. He is a charter member of the International Association for Information and Data Quality (IAIDQ).