Business intelligence, analytics, and data science : a managerial perspective / Ramesh Sharda, Dursun Delen & Efraim Turban

By: Sharda, Ramesh
Contributor(s): Delen, Dursun [Co-Author] | Turban, Efraim [Co-Author]
Material type: TextTextPublisher: Harlow, England : Pearson, 2018Edition: 4 th ed global editionNotes: with contributions to previous editions by, J.E. Aronson, Ting-Peng Liang, David KingDescription: 512 p: col. ill ; 26 cmISBN: 9781292220543; 1292220546Subject(s): BUSINESS INTELLIGENCE | INDUSTRIAL MANAGEMENT | PRODUCTION MANAGEMENT | HUMANITIES AND SOCIAL SCIENCESLOC classification: HD 38.7 | S52B 2018
Contents:
An overview of business intelligence, analytics, and data science pp. 29-78 -- Descriptive analytics I: Nature of data, statistical modeling, and visualization pp. 79-152 -- Descriptive analytics II: Business intelligence and data warehousing pp. 153-214 -- Predictive analytics I: Data mining process, methods, and algorithms pp. 215-272 -- Predictive analytics II:Text, web, and social media analytics pp. 273-344 -- Predictive analytics: Optimization and simulation pp. 345-394 -- Big data concepts and tools pp. 395-442 -- Future trends, privacy and managerial considerations in analytics pp 443-492
Summary: For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.
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Item type Current location Collection Shelving location Call number Status Date due Barcode Item holds
General Book General Book SPU Library, Chonburi campus
General Books (ENGLISH) Floor 3: General Shelves (FOREIGN LANGUAGE) HD 38.7 S52B 2018 (Browse shelf) Available B009164
Total holds: 0

with contributions to previous editions by, J.E. Aronson, Ting-Peng Liang, David King

An overview of business intelligence, analytics, and data science pp. 29-78 -- Descriptive analytics I: Nature of data, statistical modeling, and visualization pp. 79-152 -- Descriptive analytics II: Business intelligence and data warehousing pp. 153-214 -- Predictive analytics I: Data mining process, methods, and algorithms pp. 215-272 -- Predictive analytics II:Text, web, and social media analytics pp. 273-344 -- Predictive analytics: Optimization and simulation pp. 345-394 -- Big data concepts and tools pp. 395-442 -- Future trends, privacy and managerial considerations in analytics pp 443-492

For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.

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