Information quality and governance for business intelligence / William Yeoh, Deakin University, Australia, John Talburt, University of Arkansas-Little Rock, USA, and Yinle Zhou, IBM corporation, USA, [editors]
Published
Hershey, PA : Business Science Reference, an imprint of IGI global, [2014]
""Title Page""; ""Copyright Page""; ""Advances in Business Strategy and Competitive Advantage (ABSCA) Book Series""; ""Editorial Advisory Board and List of Reviewers""; ""Table of Contents""; ""Detailed Table of Contents""; ""Foreword""; ""Preface""; ""Acknowledgment""; ""A Conceptual Model of Metadata�s Role in BI Success""; ""Understanding the Influence of Business Intelligence Systems on Information Quality""; ""Subjective Information Quality in Data Integration""; ""A Case Study on Data Quality, Privacy, and Entity Resolution""; ""Business Intelligence for Healthcare""
IT Architecture and Information Quality in Data Warehouse and Business Intelligence EnvironmentsInformation Quality Assessment for Asset Management Systems -- Trends and Research of Wikis' Quality and Governance Based on Bibliometric and Content Analysis -- Social Media Tools for Quality Business Information -- Improving Spatial Data Quality through Spatial ETL Processes -- Principled Reference Data Management for Business Intelligence -- Effective Measurement of DQ/IQ for BI
Data Profiling and Data Quality Metric Measurement as a Proactive Input into the Operation of Business Intelligence SystemsAgile Information Management Governance -- Challenges of Structure and Organization in Medium-Sized Content -- A Case Study to Improve Data Vendor Selection -- Strategies for Large-Scale Entity Resolution Based on Inverted Index Data Partitioning -- A Dual-Database Trusted Broker System for Resolving, Protecting, and Utilizing Multi-Sourced Data -- Business Intelligence Architecture in Support of Data Quality -- The Value of Data Quality
Data Protection and BICompilation of References -- About the Contributors -- Index
Summary
"This book 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"-- Provided by publisher
Analysis
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
Bibliography
Includes bibliographical references (pages 414-443) and index
Notes
Description based on print version record and CIP data provided by publisher; resource not viewed
