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Business intelligence, analytics, data science, and AI [electronic resource]/ Ramesh Sharda, Oklahoma State University, Dursun Delen, Oklahoma State University, Efraim Turban, University of Hawaii.

By: Contributor(s): Material type: TextPublisher: [United States] : Pearson, [2024]Edition: Fifth editionDescription: 1 digital resource (xxx, 695 pages) illustrations 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780137931286
Uniform titles: Subject(s): DDC classification:
  • 658.472 SHA 23/eng/20230522
LOC classification:
  • HD38.7 .B8714 2024
Contents:
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.
Summary: "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.
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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books CamTech Library General Collections 658.472 SHA (Browse shelf(Opens below)) C.1 Checked out 09/30/2026 0000002970
Total holds: 0

Includes bibliographical references and index.

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.

"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.

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