Lecture Management information systems (9/e): Chapter 10 - James A. O'Brien, George M. Marakas, Ramesh Behl

Chapter 10 decision support systems. After reading and studying this chapter, you should be able to: Identify the changes taking place in the form and use of decision support in business, identify the role and reporting alternatives of management information systems, describe how online analytical processing can meet key information needs of managers. | Decision Support Systems Chapter 10 Identify the changes taking place in the form and use of decision support in business. Identify the role and reporting alternatives of management information systems. Describe how online analytical processing can meet key information needs of managers. Learning Objectives Learning Objectives Explain the decision support system concept and how it differs from traditional management information systems. Explain how the following information systems can support the information needs of executives, managers, and business professionals: Executive information systems Enterprise information portals Knowledge management systems Learning Objectives Identify how neural networks, fuzzy logic, genetic algorithms, virtual reality, and intelligent agents can be used in business. Give examples of several ways expert systems can be used in business decision-making situations. Why Study Decision Support Systems? As companies migrate toward responsive e-business . | Decision Support Systems Chapter 10 Identify the changes taking place in the form and use of decision support in business. Identify the role and reporting alternatives of management information systems. Describe how online analytical processing can meet key information needs of managers. Learning Objectives Learning Objectives Explain the decision support system concept and how it differs from traditional management information systems. Explain how the following information systems can support the information needs of executives, managers, and business professionals: Executive information systems Enterprise information portals Knowledge management systems Learning Objectives Identify how neural networks, fuzzy logic, genetic algorithms, virtual reality, and intelligent agents can be used in business. Give examples of several ways expert systems can be used in business decision-making situations. Why Study Decision Support Systems? As companies migrate toward responsive e-business models, they are investing in new data-driven decision support application frameworks that help them respond rapidly to changing market conditions and customer needs. Case #1: Centralized Business Intelligence Strategic Business Intelligence Approach: Standardize on fewer business-intelligence tools and make them available throughout organizations even before projects are planned Create dedicated groups called competency centers to manage business-intelligence projects and provide technical and analytical expertise to other employees Case #1: Centralized Business Intelligence Competency Center Approaches: Centralized vs. Virtual Part of IT department vs. independent Case #1: Centralized Business Intelligence What is business intelligence? Why are business-intelligence systems such a popular business application of IT? What is the business value of the various BI applications discussed in the case? Is a business-intelligence system an MIS or a DSS? Why does it appear that companies are .

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