Discover the details of managing entity information to successfully achieve master data management (MDM) in the era of big data. "Entity resolution and identity information management are the major challenges in master data management. John Talburt and Yinle Zhou have synthesized their considerable expertise to address this challenge in the era of big data. Anyone who wants to manage data strategically should start here." - Laura Sebastian-Coleman, Data Quality Center of Excellence Lead, Cigna

Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data’s impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide practical tips and techniques for implementing an EIMS, strategies for exploiting distributed processing to handle big data for EIMS, and examples from real applications. Additional material on the theory of EIIM and methods for assessing and evaluating EIMS performance also make this book appropriate for use as a textbook in courses on entity and identity management, data management, customer relationship management (CRM), and related topics.