Data analytics and business intelligence :  computational frameworks, practices, and applications / 
editor Vincent Charles, Programme Director for MSc Applied Artificial Intelligence and Data Analytics School of Management, University of Bradford, Bradford, United Kingdom, Pratibha Garg, Assistant Professor, Amity School of Business, Amity University, Noida, Uttar Pradesh, India, Neha Gupta, Assistant Professor, Amity School of Business, Amity University, Noida, Uttar Pradesh, India, Mohini Agarwal, Assistant Professor, Amity School of Business, Amity University, Noida, Uttar Pradesh, India. 
 - xiii, 260 pages :  illustrations ;  24 cm 
<br/><br/>Includes bibliographical references and index 
<br/><br/> "Business Analytics, one of the most popular research areas today, is driven by expanding requisites from the real world. This book reveals advances in data analytics and business intelligence that can assist industries in problem-solving exercises, with a view to driving competitive advantage. The book contains a wide range of knowledge, insights, and directions that can help master the analytics skills needed to improve, innovate, and formulate new or existing processes, products, and services. In addition, this book demonstrates how to go beyond conventional analytical tools to reach the depth of the data and how the insights derived can be used for decision-making and for telling compelling stories"-- 
<br/><br/><label>ISBN: </label>9781032039046 (hardback) 
<br/><br/><label>LCCN: </label>2022058414 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Business--Decision making--Data processing.<br/>Business enterprises--Technological innovations.<br/>Business intelligence.
<br/><br/><label>LC Class. No.: </label>HF5548.2   / D38