Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager. The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and “data for good.”
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An Overview of Business Intelligence, Analytics, Data Science, and AIArtificial Intelligence: Concepts, Drivers, Major Technologies, and Business ApplicationsDescriptive Analytics I: Nature of Data, Big Data, and Statistical ModelingDescriptive Analytics II: Business Intelligence Data Warehousing, and VisualizationPredictive Analytics I: Data Mining Process, Methods, and AlgorithmsPredictive Analytics II: Text, Web, and Social Media AnalyticsDeep Learning and Cognitive ComputingPrescriptive Analytics: Optimization and SimulationLandscape of Business Analytics ToolsAI-Based Trends in Analytics and Data ScienceEthical, Privacy, and Managerial Considerations in Analytics
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Hallmark features of this title Prepares tomorrow's managers for roles in decision support systems, business intelligence (BI) and analytics, emphasizing methods, software and the role of Artificial Intelligence (AI).Opening vignettes and application cases present BI problems and solutions, apply specific techniques or models, and illustrate how organizations use analytics and AI technology effectively.Real-world cases and examples demonstrate capabilities, costs and justifications of BI.Boxed features call out key technology; color charts, graphs and figures illustrate data and processes.Chapter highlights, key terms, exercises, section review questions and Internet assignments provide hands-on practice.Pearsonhighered.com/sharda offers application exercise files and other key resources.
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New and updated features of this title NEW: Integrates the fully updated content of Analytics, Data Science, and AI, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 all-new chapters that empower future managers to master today's analytics and AI technologies.REVISED: Streamlined and organized around 3 types of business analytics, descriptive, predictive and prescriptive (INFORMS classification), the text offers 11 chapters in 5 sections that provide exposure, experience and opportunity for exploration.NEW: An all-new chapter on tools for analytics provides an overview and guidance to use R/Python, KNIME, JMP and more.NEW: 4 all-new and 7 fully updated chapters cover the latest in analytics and AI, such as ChatGPT, and pinpoint the relevance of each innovation (conversational AI, machine and deep learning, cloud-based analytics, IoT, Metaverse, etc.) to analytics.NEW: Vignettes and cases illustrate modern companies using techniques covered across a range of business units. New examples include analytics in sports, the gaming industry, agriculture, and “data for good.”NEW: Updated coverage of ethical, privacy and managerial considerations in analytics includes new issues related to responsible AI, protection of privacy, IP, technical and administrative concerns and consequences.
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Produktdetaljer

ISBN
9781292459295
Publisert
2024-06-17
Utgave
5. utgave
Utgiver
Vendor
Pearson Education Limited
Vekt
1330 gr
Høyde
250 mm
Bredde
200 mm
Dybde
25 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
736

Biographical note

About our authors

Ramesh Sharda (MBA, PhD, University of Wisconsin–Madison) is the Vice Dean for Research and Graduate Programs, Watson/ConocoPhillips Chair, and a Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University (OSU). He cofounded and directed OSU's PhD in Business for the Executives Program. About 200 papers describing his research have been published in major journals, including Operations Research, Management Science, Information Systems Research, Decision Support Systems, and the Journal of MIS. He cofounded the AIS SIG on Decision Support Systems and Knowledge Management (SIGDSA). Dr. Sharda serves on several editorial boards, including those of Decision Support Systems and ACM Data Base. He has authored and edited several textbooks and research books and serves as the coeditor of several Springer book series (Integrated Series in Information Systems, Operations Research/Computer Science Interfaces, and Annals of Information Systems) with Springer. He served as the Executive Director of the Teradata University Network from 2013-2020. His current research interests are in decision support systems, business analytics, and technologies for managing information overload. Ramesh is a Fellow of INFORMS and AIS, and was inducted into the Oklahoma Higher Education Hall of Fame in 2015. He was awarded a Fulbright Distinguished Chair at Aalto University of Finland for spring 2023.

Dursun Delen (PhD, Oklahoma State University) is the Spears Endowed Chair in Business Administration, Patterson Foundation Endowed Chair in Business Analytics, Director of Research for the Center for Health Systems Innovation, and Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University (OSU). Prior to his academic career, he worked for a privately owned research and consultancy company, Knowledge Based Systems Inc., in College Station, Texas, as a research scientist for 5 years, during which he led a number of decision support and other information systems–related research projects funded by several federal agencies including the Department of Defense (DoD), National Aeronautics and Space Administration (NASA), National Institute for Standards and Technology (NIST), Ballistic Missile Defense Organization (BMDO), and Department of Energy (DOE). Dr. Delen has published more than 200 peer-reviewed articles, some of which have appeared in major journals like Decision Sciences, Decision Support Systems, Communications of the ACM, Computers and Operations Research, Computers in Industry, Journal of Production Operations Management, Artificial Intelligence in Medicine, International Journal of Medical Informatics, Expert Systems with Applications, and IEEE Wireless Communications. He recently authored/coauthored twelve textbooks in the broad areas of business analytics, data mining, text mining, business intelligence, and decision support systems. He is often invited to national and international conferences for keynote addresses on topics related to data/text mining, business analytics, decision support systems, business intelligence, and knowledge management. He regularly chairs, tracks, and minitracks at various information systems and analytics conferences. He is currently serving as the Editor-in-Chief for the Journal of Business Analytics, Journal of AI in Business (part of Frontiers in AI family of journals), and as Senior Editor, Associate Editor, or Editorial Board Member for more than another dozen of academic journals. His research and teaching interests are in data and text mining, business analytics, decision support systems, data science, knowledge management, business intelligence, and enterprise modeling.

Efraim Turban (MBA, PhD., University of California, Berkeley) is a Visiting Scholar at the Pacific Institute for Information System Management, University of Hawaii. Prior to this, he was on the staff of several universities, including City University of Hong Kong; Lehigh University; Florida International University; California State University, Long Beach; Eastern Illinois University; and the University of Southern California. Dr. Turban is the author of more than 100 refereed papers published in leading journals, such as Management Science, MIS Quarterly, and Decision Support Systems. He is also the author of 20 books, including Electronic Commerce: A Managerial Perspective and Information Technology for Management. He is also a consultant to major corporations worldwide. Dr. Turban's current areas of interest are Web-based decision support systems, social commerce, and collaborative decision making.