IDQ Webinars: with Dr Laura Sebastian-Coleman
Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework
Laura Sebastian-Coleman will discuss the challenges of measuring data quality and review the Data Quality Assessment Framework (DQAF) described in her forthcoming book, Measuring Data Quality for Ongoing Improvement. Most experts agree that the ability to measure the quality of data is critical to improving the quality of data; but many practitioners struggle with how to measure.
The Data Quality Assessment Framework is a descriptive taxonomy that enables a common understanding of data quality measurement and assessment. It defines generic patterns of measurement related to the dimensions of completeness, timeliness, validity, consistency, and integrity. These patterns can be used to perform initial assessment of data or to define specific metrics for in-line measurement or periodic assessment.
Attending this webinar will provide you with insight on how to approach data quality measurement in your organization.
About the Author
Laura Sebastian-Coleman IQCP, Data Quality Center of Excellence Lead at Cigna, has worked on data quality in large health care data warehouses since 2003. Laura has implemented data quality metrics and reporting, launched and facilitated stakeholder meetings on data quality, contributed to data consumer training programs, and has led efforts to establish data standards and to manage metadata. In 2009, she led a group of analysts from Optum and UnitedHealth Group in developing the original Data Quality Assessment Framework (DQAF) which is the basis for her book Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework (Morgan Kaufmann, 2013).
About the Author
Robin Rappaport is the Data Quality Team Leader responsible for delivery of the Data Quality Initiative for Research Databases at the Internal Revenue Service (IRS). Her work and that of her team contributed to the IRS being awarded a Computerworld Honor and a Government Computer News (GCN) Gala Award. She has over 25 years of experience as a Data Quality practitioner. Her undergraduate degree was in Economics with Computer Science. Her graduate work was in Operations Research with a concentration in Mathematical Modeling in Information Systems. She has worked in both private (6 years) and public sectors (since June 1990). Her positions include Computer Programmer, Systems Analyst, and Operations Research Analyst.
In addition to IQ International, the International Association for Information & Data Quality, she is a member of the Institute for Operations Research and Management Science (INFORMS). She was Chairman, Individual Membership for the Washington, D.C. chapter from 1987- 1990. She was elected Secretary and served from 1990 - 1991.
Contact Robin by email at robin [dot] rappaport [AT] iaidq [dot] org