Skip to content

Certified Chief Data Officer (CCDO) Professional Program (Interested Attendees) - Data Quality Management in Practice

Data Quality Management in Practice by John Talburt and Danette McGilvray
This course includes 5 sessions. Sessions 1-2, taught by John Talburt, cover the history and development of DQM methodologies, the ISO 8000 DQM reference model, the role of data governance, and a data quality (DQ) case study. Sessions 3-5, taught by Danette McGilvray, cover the methodology Ten Steps to Quality Data and Trusted Information™ (outlined in the book Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ 2nd Ed. (Elsevier/Academic Press) by Danette McGilvray. This methodology provides a practical approach to creating, improving, and sustaining the quality of data critical to any organization’s success.
John Talburt
John R. Talburt, PhD, IQCP, CDMP, is the Acxiom Chair of Information Quality and Director of the Information Quality Graduate Program at the University of Arkansas at Little Rock. Previously, he led the Data Research and Development group for Acxiom Corporation where he implemented their Total Data Quality Management program. He is a member of the U.S. Technical Advisory Group (TAG) to the International Organization for Standardization (ISO) in data quality, and Lead Data Governance Consultant for Noetic Partners. He is an inventor for several patents related to customer data integration and the author of numerous research papers on information quality and entity resolution. His books include “Entity Information Life Cycle for Big Data: Master Data Management and Information Integration” (Morgan Kaufmann, 2015), “Entity Resolution and Information Quality” (Morgan Kaufmann, 2011), “Data Engineering: Mining, Information and Intelligence” (Springer, 2010), and “Information Quality and Governance for Business Intelligence” (IGI Global, 2014).


Danette McGilvray
An internationally respected expert, Danette McGilvray is known for her Ten Steps™ approach, used by multiple industries as a proven method for increasing the value of data through quality and governance. It applies to operational processes and focused initiatives such as security, analytics, digital transformation, AI, and compliance. Danette guides leaders and staff as they connect business strategy to practical steps for implementation. As president and principal of Granite Falls Consulting, Inc., Danette is committed to the appropriate and effective use of technology and addressing the human aspect of data management through communication, change management, and engaging with people. Danette is the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™, 2nd Ed. (Elsevier/Academic Press, 2021). Chinese and Japanese translations are available. Spanish translation is currently underway
1.Personal Information(Required.)
2.Company(Required.)
3.Job Title(Required.)
4.LinkedIn Profile
5.Please provide your availability (time and date) for a scheduled briefing 
6.What do you hope to learn or gain from this course?
7.Where did you learn about this program/course?(Required.)