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System Performance and Management Analytics

  • P. K. Kapur
  • Yury Klochkov
  • Ajit Kumar Verma
  • Gurinder Singh

Part of the Asset Analytics book series (ASAN)

Table of contents

  1. Front Matter
    Pages i-x
  2. Vipul Garg, M. Hari Prasad, Gopika Vinod, A. RamaRao
    Pages 1-13
  3. Mohammad Hossein Zavvar Sabegh, Aylin Caliskan, Yucel Ozturkoglu, Burak Cetiner
    Pages 35-46
  4. Abdul Raoof Wani, Q. P. Rana, Nitin Pandey
    Pages 47-54
  5. Ruchi Agarwal, Supriya Saxena
    Pages 55-63
  6. Nidhi Chandra, Sunil Kumar Khatri, Subhranil Som
    Pages 65-76
  7. Noshiba Nazir, Nitasha Hasteer, Rana Majumdar
    Pages 87-95
  8. Varun Gupta, Siddharth Sethi, Chetna Gupta
    Pages 119-124
  9. Anu G. Aggarwal, Vikas Dhaka, Nidhi Nijhawan, Abhishek Tandon
    Pages 125-137
  10. Varun Gupta, Akshay Mehta, Chetna Gupta
    Pages 139-145
  11. Anshumaan Saxena, Sourabh Kumar Singh, Amit Kumar, Mangey Ram
    Pages 147-165
  12. Shikha Badhani, Sunil Kumar Muttoo
    Pages 203-215
  13. Iqra Hussain, Mukesh Chandra Negi, Nitin Pandey
    Pages 217-227
  14. Yury Klochkov, Bacel Mikhael Alasas, Adarsh Anand, Ljubisa Papic
    Pages 229-240
  15. Dmitriy Aydarov, Yury Klochkov, Natalia Ushanova, Elena Frolova, Maria Ostapenko
    Pages 241-249
  16. Ravin Kumar
    Pages 251-258
  17. Richa Sharma, Vasudha Vashisht, Ajay Vikram Singh, Sushil Kumar
    Pages 259-277
  18. Adithya Thaduri, Stephen Mayowa Famurewa, Ajit Kumar Verma, Uday Kumar
    Pages 279-293
  19. Nitin Sachdeva, P. K. Kapur, A. K. Shrivastava
    Pages 295-305
  20. Adarsh Anand, Gunjan Bansal, Arushi Singh Rawat, P. K. Kapur
    Pages 307-320
  21. Yogita Kansal, P. K. Kapur
    Pages 321-331
  22. Gurinder Singh, Loveleen Gaur, Kumari Anshu
    Pages 361-372
  23. Jajati K. Jena, Ajit Kumar Verma, Uday Kumar, Srividya Ajit
    Pages 387-403

About this book

Introduction

This book shares key insights into system performance and management analytics, demonstrating how the field of analytics is currently changing and how it is used to monitor companies’ efforts to drive performance.
Managing business performance facilitates the effective accomplishment of strategic and operational goals, and there is a clear and direct correlation between using performance management applications and improved business and organizational results. As such, performance and management analytics can yield a range of direct and indirect benefits, boost operational efficiency and unlock employees’ latent potential, while at the same time aligning services with overarching goals.
The book addresses a range of topics, including software reliability assessment, testing, quality management, system-performance management, analysis using soft-computing techniques, and management analytics. It presents a balanced, holistic approach to viewing the world from both a technical and managerial perspective by considering performance and management analytics. Accordingly, it offers a comprehensive guide to one of the most pressing issues in today’s technology-dominated world, namely, that most companies and organizations find themselves awash in a sea of data, but lack the human capital, appropriate tools and knowledge to use it to help them create a competitive edge.

Keywords

System Performance Management Analytics Performance Analytics Reliability Quality Management

Editors and affiliations

  • P. K. Kapur
    • 1
  • Yury Klochkov
    • 2
  • Ajit Kumar Verma
    • 3
  • Gurinder Singh
    • 4
  1. 1.Center for Interdisciplinary ResearchAmity UniversityNew DelhiIndia
  2. 2.Department of Economics and Management in Machine BuildingPeter the Great St. Petersburg Polytechnic UniversitySaint PetersburgRussia
  3. 3.Western Norway University of Applied SciencesBergenNorway
  4. 4.Amity UniversityNoidaIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-7323-6
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Business and Management
  • Print ISBN 978-981-10-7322-9
  • Online ISBN 978-981-10-7323-6
  • Series Print ISSN 2522-5162
  • Series Online ISSN 2522-5170
  • Buy this book on publisher's site