TY - BOOK ID - 37898027 TI - System Performance and Management Analytics AU - Kapur, P. K. AU - Klochkov, Yury. AU - Verma, Ajit Kumar. AU - Singh, Gurinder. PY - 2019 SN - 9811073236 9811073228 PB - Singapore : Springer Nature Singapore : Imprint: Springer, DB - UniCat KW - Performance KW - Performance technology. KW - Management. KW - Big data. KW - Production management. KW - System safety. KW - Industrial management-Environmen. KW - Operating systems (Computers). KW - Computer system performance. KW - Big Data/Analytics. KW - Operations Management. KW - Quality Control, Reliability, Safety and Risk. KW - Sustainability Management. KW - Performance and Reliability. KW - System Performance and Evaluation. KW - Computer operating systems KW - Computers KW - Disk operating systems KW - Systems software KW - Safety, System KW - Safety of systems KW - Systems safety KW - Accidents KW - Industrial safety KW - Systems engineering KW - Manufacturing management KW - Industrial management KW - Data sets, Large KW - Large data sets KW - Data sets KW - Operating systems KW - Prevention KW - Quality control. KW - Reliability. KW - Industrial safety. KW - Industrial management—Environmental aspects. KW - Computer software—Reusability. KW - Computer system failures. KW - Computer failures KW - Computer malfunctions KW - Computer systems KW - Failure of computer systems KW - System failures (Engineering) KW - Fault-tolerant computing KW - Industrial accidents KW - Industries KW - Job safety KW - Occupational hazards, Prevention of KW - Occupational health and safety KW - Occupational safety and health KW - Prevention of industrial accidents KW - Prevention of occupational hazards KW - Safety, Industrial KW - Safety engineering KW - Safety measures KW - Safety of workers KW - System safety KW - Dependability KW - Trustworthiness KW - Conduct of life KW - Factory management KW - Industrial engineering KW - Reliability (Engineering) KW - Sampling (Statistics) KW - Standardization KW - Quality assurance KW - Quality of products KW - Failures KW - Quantitative research. KW - Security systems. KW - Computers. KW - Electronic digital computers KW - Data Analysis and Big Data. KW - Security Science and Technology. KW - Hardware Performance and Reliability. KW - Evaluation. KW - Automatic computers KW - Automatic data processors KW - Computer hardware KW - Computing machines (Computers) KW - Electronic brains KW - Electronic calculating-machines KW - Electronic computers KW - Hardware, Computer KW - Cybernetics KW - Machine theory KW - Calculators KW - Cyberspace KW - Administration KW - Industrial relations KW - Organization KW - Security measures KW - Burglary protection KW - Data analysis (Quantitative research) KW - Exploratory data analysis (Quantitative research) KW - Quantitative analysis (Research) KW - Quantitative methods (Research) KW - Research UR - https://www.unicat.be/uniCat?func=search&query=sysid:37898027 AB - 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. ER -