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Business Intelligence and Data-Driven DSS
內容大綱
Abstract (Maximum of 2,000 Characters): Briefly describes content of case. Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. Chapter 4 examines a specific category of DSS: business intelligence and data-driven DSS. The chapter addresses data warehousing, key considerations for evaluating a BI data-driven decision support proposal, and best practices for BI reports. Introduction to SQL, pivot tables, and parallel databases are provided.