IDQ Webinars: with Alexander Borek
Incorporating Risk Management into Information Quality Management
Can a consideration of information risks lead to more effective information quality management? Most practitioners acknowledge information as an important resource in every organization and also agree that the level of information quality is a key determinant for the success of information usage and organizational performance
But poor information quality does not always mean same damaging business impact every time. Some information can be of higher importance than others are and some information quality problem might have a bigger impact on the business than others do. Improving information quality without taking into account the inherent value and resulting risks - both positive and negative - can be an Odyssey with massive efforts but disappointing results. In this webinar, we discuss why and how risk management methods should be applied to information quality management to manage information quality more effectively and increase alignment with business process and results.
About the Author
Alexander Borek is thought leader, innovator and educator on how to apply risk management principles and methods to measure and manage the impact of poor data quality and bad information insights. In his current role as Senior Strategy Consultant at IBM Corporate Headquarters, Alex is using data analytics to drive IBM’s world-wide corporate strategy. Alex is a frequent speaker at international data management conferences. He is the author of Total Information Risk Management: Maximizing the Value of Data and Information Assets (Morgan Kaufmann) and of numerous peer-reviewed research articles (e.g. Information & Management). Dataqualitypro.com described him in its February 2012 newsletter as "a rising star in the data quality firmament". Tom Redman recognized the "significant breakthroughs" that are provided to the discipline through his work. Alex holds a Ph.D. in Engineering from the University of Cambridge and a first class M.Sc. in Information Management from the Karlsruhe Institute of Technology.
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 the International Association for Information & Data Quality (IAIDQ), 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.
She lives in Baltimore, Maryland USA with her husband and their four children. She is also a Girl Scout Leader.
Contact Robin by email at robin [dot] rappaport [AT] iaidq [dot] org
About IDQ Webinars:
An IDQ Webinar is a moderated webinar open to all, designed to serve as discussion platform for the data and information quality community. The webinars are supported and organized by the International Association for Information and Data Quality. IAIDQ seeks to engage experts with experience and expertise in the field of data and information quality.