TY  - BOOK
AU  - Sharda, Ramesh
AU  - Delen, Dursun
AU  - Turban, Efraim
TI  - Business intelligence, analytics, and data science: a managerial perspective 
SN  - 9781292220543
AV  - HD 38.7 S52B 2018
PY  - 2018///
CY  - Harlow, England
PB  - Pearson
KW  - BUSINESS INTELLIGENCE
KW  - INDUSTRIAL MANAGEMENT
KW  - PRODUCTION MANAGEMENT
KW  - HUMANITIES AND SOCIAL SCIENCES
N1  - 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
N2  - 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
ER  -