§16§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 manageme §16§nt context.§§ §04§§Introduction.- Analytics 〓§§ §02§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 〓02§gence 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 Business Intelligence and Analytics, Artificial Intelligence, Big data analytics, Management Information Systems, Data Analysis, and Business models.
