Strategic System Assurance and Business Analytics

This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems.

Strategic System Assurance and Business Analytics

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.

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Strategic System Assurance and Business Analytics
Language: en
Pages: 602
Authors: P. K. Kapur, Ompal Singh, Sunil Kumar Khatri, Ajit Kumar Verma
Categories: Business & Economics
Type: BOOK - Published: 2020-06-19 - Publisher: Springer Nature

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
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Pages: 222
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Type: BOOK - Published: 2021-08-02 - Publisher: CRC Press

This book examines Multi-Criteria Decision Modelling (MCDM) methodologies and facilitates diverse ways for strategic decision-making in a variety of practical applications. This book also provides a pragmatic foundation for solving real-life problems in different scenarios of emerging global markets. Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies depicts the use
Proceedings of Data Analytics and Management
Language: en
Pages:
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Categories: Technology & Engineering
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Language: en
Pages: 893
Authors: Ashish Khanna, Deepak Gupta, Siddhartha Bhattacharyya, Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal
Categories: Technology & Engineering
Type: BOOK - Published: 2021-08-28 - Publisher: Springer Nature

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Encyclopedia of Business Analytics and Optimization
Language: en
Pages: 2754
Authors: Wang, John
Categories: Business & Economics
Type: BOOK - Published: 2014-02-28 - Publisher: IGI Global

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