Obtaining Value from Big Data for Service Systems, Volume I

This volume will assist readers in fitting big data analysis into their service-based organizations.

Volume I of this two-volume series focuses on the role of big data in service delivery systems. It discusses the definition and orientation to big data, applications of it in service delivery systems, how to obtain results that can affect/enhance service delivery, and how to build an effective big data organization.

This volume will assist readers in fitting big data analysis into their service-based organizations. It will also help readers understand how to improve the use of big data to enhance their service-oriented organizations.

Stephen H. Kaisler is consultant at SHK & Associates and adjunct professor of engineering at George Washington University. He has focused his efforts on Big Data and analytics, and enterprise architecture. He has published over 45 papers and 11 books on varied subjects such as Big Data and Historical Computing Machines.

Frank Armour is assistant professor in the Kogod School of Business at the American University and the faculty program director for the MS degree program in analytics. He has over 25 years of extensive experience in both the practical and academic aspects of applying advanced information technology.

J. Alberto Espinosa is professor and former chair of information technology in the Kogod School of Business at the American University. His research focuses on coordination in global technical projects across global boundaries, particularly distance and time. He published in various journals including IEEE Transactions on Software Engineering and IEEE Transactions on Engineering Management.