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Strategic System Assurance and Business Analytics 2020 Edition
Contributor(s): Kapur, P. K. (Editor), Singh, Ompal (Editor), Khatri, Sunil Kumar (Editor)
ISBN: 981153649X     ISBN-13: 9789811536496
Publisher: Springer
OUR PRICE:   $189.99  
Product Type: Paperback - Other Formats
Published: June 2021
Qty:
Additional Information
BISAC Categories:
- Business & Economics | Industries - Computers & Information Technology
- Business & Economics | Production & Operations Management
- Business & Economics | Operations Research
Physical Information: 1.26" H x 6.14" W x 9.21" (1.90 lbs) 602 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.


In the current dynamic environment, a viable tool known as multi-criteria decision analysis (MCDA) is increasingly being adopted to deal with complex business decisions. MCDA is an important decision support tool for analyzing goals and providing optimal solutions and alternatives. It comprises several distinct techniques, which are implemented by specialized decision-making packages. This book addresses a number of important MCDA methods, such as DEMATEL, TOPSIS, AHP, MAUT, and Intuitionistic Fuzzy MCDM, which make it possible to derive maximum utility in the area of analytics. As such, it is a valuable resource for researchers and academicians, as well as practitioners and business experts.