Information Quality and Governance for Business Intelligence
Book Citation Index

Information Quality and Governance for Business Intelligence

William Yeoh (Deakin University, Australia), John R. Talburt (University of Arkansas at Little Rock, USA) and Yinle Zhou (IBM Corporation, USA)
Indexed In: INSPEC, SCOPUS View 3 More Indices
Release Date: December, 2013|Copyright: © 2014 |Pages: 478
ISBN13: 9781466648920|ISBN10: 1466648929|EISBN13: 9781466648937|DOI: 10.4018/978-1-4666-4892-0


Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges.

Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing in business intelligence, information quality, and information systems.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Applications of Data Quality
  • Business Process Modeling
  • Data Governance and Stewardship
  • Data Integrity and Sustainability
  • DQ Frameworks and Governance
  • DQ/IQ for Unstructured Data
  • Master Data Management
  • Organizational Culture

Table of Contents and List of Contributors

Search this Book:

Author(s)/Editor(s) Biography

Dr. William Yeoh is the Director for IBM Centre of Excellence in Business Analytics at Deakin University, Australia. He received his PhD from the University of South Australia. His main research interests include Business Intelligence and Analytics, Information Quality, Enterprise Systems, Cloud Computing & Crowdsourcing. His research are supported by various funding bodies and have appeared in high-tier journals (A* & A journals) and top five IS conferences (eg. ICIS). His analytics expertise is well-recognised by industry - he has been a frequent invited speaker at industry forums. Dr. Yeoh has won numerous awards including the 2017 ICT Educator of the Year Gold Award (awarded by the Australian Computer Society ACS - the Australia’s premier ICT professional association), internationally-competitive IBM Faculty Award that rarely bestowed on Australian-based academics (2016 & 2017), Deakin’s Vice-Chancellor Award for Value Innovation (2016), and Faculty Excellence in Research Award (2017). Moreover, his mentored team was crowned the World Champion at the 2016 IBM Watson Analytics Global Competition held in Las Vegas.
Dr. John R. Talburt is a Professor of Information Science at the University of Arkansas at Little Rock (UALR) where he is the Coordinator for the Information Quality Graduate Program and the Executive Director of the UALR Center for Advanced Research in Entity Resolution and Information Quality (ERIQ). He is also the Chief Scientist for Black Oak Partners, LLC, an information quality solutions company based in Little Rock, Arkansas. Prior to his appointment at UALR he was the leader for research and development and product innovation at Acxiom Corporation, a global leader in information management and customer data integration. Professor Talburt is an inventor for several patents related to customer data integration and the author of numerous articles on information quality and entity resolution, and is the author of Entity Resolution and Information Quality (Morgan Kaufmann, 2011). He also holds the IAIDQ Information Quality Certified Professional (IQCP).
Dr. Yinle Zhou is an IBM software architect and data scientist in the InfoSphere MDM development group in Austin, Texas, and also serves as an Affiliate Member of the Graduate Faculty at University of Arkansas at Little Rock (UALR). Dr. Zhou holds a PhD in Integrated Computing with Emphasis in Information Quality (IQ) from UALR where her doctoral research focused on modeling the management of entity identity information in entity resolution systems. She also holds a Master of Science in Information Quality from UALR, a Bachelor of Business Administration in Electronic Commerce from Nanjing University in China, and the Information Quality Certified Professional (IQCP) credential issued by the International Association for Information and Data Quality (IAIDQ). Her research and publications are in areas of information quality, identity management, entity and identity resolution, and social computing.