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by Stephen H. Kaisler (Author), Frank Armour (Author), J. Alberto Espinosa (Author)
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.
Author Biography
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.
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Description
by Stephen H. Kaisler (Author), Frank Armour (Author), J. Alberto Espinosa (Author)
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.
Author Biography
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.
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| Shipping | This item ships to |
| Delivery | Estimated between and . Will usually ship within 1 business day. |
