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.
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