tailieunhanh - Lecture Introduction to MIS: Chapter 9 - Jerry Post

In this chapter you will learn: How do businesses make decisions? How do you make a good decision? Why do people make bad decisions? How do you find and retrieve data to analyze it? How can you quickly examine data and view subtotals without writing hundreds of queries? How does a decision support system help you analyze data? | Introduction to MIS Chapter 9 Business Decisions Jerry Post Technology Toolbox: Forecasting a Trend Technology Toolbox: PivotTable Cases: Financial Services 1 Outline How do businesses make decisions? How do you make a good decision? Why do people make bad decisions? How do you find and retrieve data to analyze it? How can you quickly examine data and view subtotals without writing hundreds of queries? How does a decision support system help you analyze data? How do you visualize data that depends on location? Is it possible to automate the analysis of data? Can information technology be more intelligent? Can it analyze data and evaluate rules? How do you create an expert system? Can machines be made even smarter? What technologies can be used to help managers? What would it take to convince you that a machine is intelligent? What are the differences between DSS, ES, and AI systems? How can more intelligent systems benefit e-business? How can cloud computing be used to analyze data? 2 Making Decisions Data Sales and Operations Models Analysis and Output Decisions Decision Challenges By guessing, people make bad decisions. You need to develop a process Obtain data Build a model Analyze the data Which means you need tools Some tools require background and experience Some can be automated to various points Beware of decisions after-the-fact: Someone can have “amazing” results that are random. If you look at a sample of 1,000 people and one does substantially better than the others is it random? Stock-picking competitions/results Sample Model Average total cost Marginal cost $ Quantity price Q* Determining Production Levels in Perfect Competition Economic, financial, and accounting models are useful for examining and comparing businesses. 5 Decision Levels Business Operations Tactical Management Strategic Mgt. EIS ES DSS Transaction Processing Process Control Models 6 Choose a Stock Company A’s share price increased by 2% per month. Company B’s share price was flat for | Introduction to MIS Chapter 9 Business Decisions Jerry Post Technology Toolbox: Forecasting a Trend Technology Toolbox: PivotTable Cases: Financial Services 1 Outline How do businesses make decisions? How do you make a good decision? Why do people make bad decisions? How do you find and retrieve data to analyze it? How can you quickly examine data and view subtotals without writing hundreds of queries? How does a decision support system help you analyze data? How do you visualize data that depends on location? Is it possible to automate the analysis of data? Can information technology be more intelligent? Can it analyze data and evaluate rules? How do you create an expert system? Can machines be made even smarter? What technologies can be used to help managers? What would it take to convince you that a machine is intelligent? What are the differences between DSS, ES, and AI systems? How can more intelligent systems benefit e-business? How can cloud computing be used to analyze data? 2