Overview
- Presents multilateral research in the areas of system performance analytics, management analytics, business analytics, IT, reliability, and quality management
- Includes real-world examples to provide actionable insights for managers and decision-makers
- Offers essential analyses related to software quality, reliability analysis, customer satisfaction, big data analytics, e-commerce benefits, and time series analysis
Part of the book series: Asset Analytics (ASAN)
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Table of contents (44 chapters)
Keywords
About this book
This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems. It includes chapters on system performance management, software reliability assessment, testing, quality management, analysis using soft computing techniques, management analytics, and business analytics, with a clear focus on exploring real-world business issues. Through contributions from researchers working in the area of performance, management, and business analytics, it explores the development of new methods and approaches to improve business by gaining knowledge from bulk data. With system performance analytics, companies are now able to drive performance and provide actionable insights for each level and for every role using key indicators, generate mobile-enabled scorecards, time series-based analysis using charts, and dashboards.
Editors and Affiliations
About the editors
P.K. Kapur is Director of Amity Centre for Interdisciplinary Research, Amity University, Noida, and former Dean of the Faculty of Mathematical Sciences, University of Delhi, India. He has been the President of the SREQOM (Regd.) since 2000 and is former President of ORSI. He is the Editor-in-Chief of the International Journal of System Assurance Engineering and Management, Springer (India). He has published over 350 papers in respected international journals and proceedings and has co-authored two books on software reliability with OR applications.
Ompal Singh is an Associate Professor at the Department of Operational Research, University of Delhi, India. He obtained his Ph.D. in Software Reliability from the University of Delhi in 2004, and has more than 15 years of experience in teaching, research, and consultation in the area of data handling, data analysis, and modeling in the various fields of operational research. He has published more than 100 researchpapers in respected international journals and proceedings.
Sunil Kumar Khatri is Director, Amity University, Tashkent Campus, Tashkent, Uzbekistan and is a Fellow of Institution of Electronics and Telecommunication Engineers (IETE). He has edited seven books and seven special issues of international journals, as well as more than 100 papers in respected international and national journals and proceedings. He holds various patents, and has been involved in a number of international training projects to his credit. He is an Editor of International Journal of Systems Assurance Engineering and Management, Springer, and is on the editorial boards of several journals in the USA, Egypt, Hong Kong, Singapore and India.Ajit K. Verma is a Professor (Technical Safety) of Engineering, Western Norway University of Applied Sciences, Haugesund, Norway. He was previously a Senior Professor at the Department of Electrical Engineering at IIT Bombay, India. He has published over 250 papers in various journals and conferences. He is a senior member of the IEEE and a life Fellow of the IETE and Editor-in-Chief of IJSAEM and the Journal of Life Cycle Reliability and Safety Engineering.
Bibliographic Information
Book Title: Strategic System Assurance and Business Analytics
Editors: P. K. Kapur, Ompal Singh, Sunil Kumar Khatri, Ajit Kumar Verma
Series Title: Asset Analytics
DOI: https://doi.org/10.1007/978-981-15-3647-2
Publisher: Springer Singapore
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-3646-5Published: 20 June 2020
Softcover ISBN: 978-981-15-3649-6Published: 21 June 2021
eBook ISBN: 978-981-15-3647-2Published: 19 June 2020
Series ISSN: 2522-5162
Series E-ISSN: 2522-5170
Edition Number: 1
Number of Pages: XIX, 602
Number of Illustrations: 46 b/w illustrations, 189 illustrations in colour
Topics: Big Data/Analytics, Operations Management, Operations Research/Decision Theory, System Performance and Evaluation, Quality Control, Reliability, Safety and Risk