個案資料

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 5 focuses on predictive analytics and model-driven DSS. Analytic applications - broad sets of model-driven information systems - are discussed, as is analytical processing, or quantitatively transforming and summarizing relevant data. The tools and applications used for spreadsheet-based DSS, such as Microsoft Excel, are clarified. Sensitivity and "What If?" analyses are compared. Last, the role played by computer-driven simulations, which imitate the behavior of a human or physical system, is addressed

• Decision making
• Marketing
• Knowledge management