Sharda, Ramesh <br/><br/>
Business intelligence, analytics, data science, and AI [electronic resource]/ 
Ramesh Sharda, Oklahoma State University, Dursun Delen, Oklahoma State University, Efraim Turban, University of Hawaii. 
 - Fifth edition. 
 - 1 digital resource (xxx, 695 pages)  illustrations  26 cm 
 - 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>An overview of business intelligence, analytics, and data science -- Descriptive analytics I : nature of data, statistical modeling, and visualization -- Descriptive analytics II : business intelligence and data warehousing -- Predictive analytics I : data mining process, methods, and algorithms -- Predictive analytics II : text, web, and social media analytics -- Prescriptive analytics : optimization and simulation -- Big data concepts and tools -- Future trends, privacy and managerial considerations in analytics. 
<br/><br/> "Analytics, Data Science, and Artificial Intelligence (AI) have become the technology drivers of today. All major companies and organizations are creating new organizational units focused on analytics to help them become more effective and efficient in their operations. Decision makers are using more computerized tools to support their work, and even consumers are using analytics tools, either directly or indirectly, to make decisions on routine activities such as shopping, health/healthcare, travel, and entertainment"-- Provided by publisher. 
<br/><br/><br/>English  
<br/><br/><label>ISBN: </label>9780137931286 
<br/><br/><label>LCCN: </label>2023012978 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Business intelligence<br/>Industrial management
<br/><br/><label>LC Class. No.: </label>HD38.7  / .B8714 2024 
<br/><br/><label>Dewey Class. No.: </label>658.472 SHA