Springer Decision Intelligence Analytics and the Implementation of Strategic Business Management (EAI/Springer Innovations in Communication and Computing)

Product Description This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context. From the Back Cover This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context. Discusses analytics of decision intelligence and strategic management support; Focuses on organizational concerns that can be solved through business intelligence and artificial intelligence; Presents real-life scenarios and analytics to effectively develop and deploy techniques to enhance an organization’s decision-making capability. About the Author Dr. P. Mary Jeyanthi is an Associate Professor of Jaipuria Institute of Management, Jaipur, India. She had one decade of industry experience in HDFC Bank Ltd, Business Intelligence Unit, Chennai, Tamil Nadu. She had a hand full of expertise in Business Intelligence and forecasting analytics. She had done her research in “A New Implementation of Mathematical Models with metaheuristic Algorithms for Business Intelligence”. Business Intelligence & Analytics initiatives on High Net Worth (HNW) Portfolio and She will be responsible for the creation and execution of strategies. She is also a visiting faculty of IMT Ghaziabad, Woxsen University, Hyderabad. Besides that, she had published a number of research papers in various national and international reputed journals. Conducted several workshops on Research Methodology and Business Intelligence. With 10+ years of experience in Information Technology professional in Banking Sector with extensive skills and experience in Business Intelligence with Metaheuristics algorithm and Passion in teaching to enrich the environment with knowledge and Self-discipline. Being an Entrepreneur, intensive knowledge in the research field.She is the Resource Person by many colleges regarding soft skill training and workshops related to research paper writing. She had contributed many articles in magazines related the Building up the Human Capital and Business Analytics. She is expertise in the novelty approach of writing and managing the analytics with real-time scenarios. Her research interest in Busi