Valuable software, realistic examples, clear writing, and fascinating topics help you master key spreadsheet and business analytics skills with SPREADSHEET MODELING AND DECISION ANALYSIS, 8E. You'll find everything you need to become proficient in today's most widely used business analytics techniques using Microsoft® Office Excel® 2016. Author Cliff Ragsdale -- respected innovator in business analytics -- guides you through the skills you need, using the latest Excel® for Windows. You gain the confidence to apply what you learn to real business situations with step-by-step instructions and…mehr
Valuable software, realistic examples, clear writing, and fascinating topics help you master key spreadsheet and business analytics skills with SPREADSHEET MODELING AND DECISION ANALYSIS, 8E. You'll find everything you need to become proficient in today's most widely used business analytics techniques using Microsoft® Office Excel® 2016. Author Cliff Ragsdale -- respected innovator in business analytics -- guides you through the skills you need, using the latest Excel® for Windows. You gain the confidence to apply what you learn to real business situations with step-by-step instructions and annotated screen images that make examples easy to follow. The World of Management Science sections further demonstrates how each topic applies to a real company.Each new edition includes extended trial licenses for Analytic Solver Platform and XLMiner with powerful simulation and optimization tools for descriptive and prescriptive analytics and a full suite of tools for data mining in ExcelHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
A leading innovator in spreadsheet instruction and highly regarded pioneer in business analytics, Dr. Cliff Ragsdale is the Bank of America Professor of Business Information Technology and Academic Director of the Center for Business Intelligence and Analytics in the Pamplin College of Business at Virginia Tech, where he has taught since 1990. Dr. Ragsdale received his Ph.D. in management science and information technology from the University of Georgia. He also holds an M.B.A. in Finance and B.A. in psychology from the University of Central Florida. Before pursuing his Ph.D., he supervised benefit finance and qualified plans at the international headquarters of Red Lobster, Inc. He has served as an information systems and statistical consultant for a variety of companies and as an expert witness in the area of spreadsheet forensics. Dr. Ragsdale's primary areas of research interest include applications of artificial intelligence, mathematical programming and applying statistics t
o business problems. His research has appeared in numerous publications, including Decision Sciences; Naval Research Logistics; Omega: The International Journal of Management Science; Computers & Operations Research; Operations Research Letters and Personal Financial Planning. He has received both the Pamplin Award for excellence in teaching and the Outstanding Doctoral Educator Award from the Pamplin College of Business Administration at Virginia Tech. Dr. Ragsdale is a fellow of the Decision Sciences Institute (DSI) and active member of DSI and INFORMS.
Inhaltsangabe
1. Introduction to Modeling and Decision Analysis. 2. Introduction to Optimization and Linear Programming. 3. Modeling and Solving LP Problems in a Spreadsheet. 4. Sensitivity Analysis and the Simplex Method. 5. Network Modeling. 6. Integer Linear Programming. 7. Goal Programming and Multiple Objective Optimization. 8. Nonlinear Programming & Evolutionary Optimization. 9. Regression Analysis. 10. Data Mining. 11. Time Series Forecasting. 12. Introduction to Simulation Using Analytic Solver Platform. 13. Queuing Theory. 14. Decision Analysis. 15. Project Management (Online).
1. Introduction to Modeling and Decision Analysis. 2. Introduction to Optimization and Linear Programming. 3. Modeling and Solving LP Problems in a Spreadsheet. 4. Sensitivity Analysis and the Simplex Method. 5. Network Modeling. 6. Integer Linear Programming. 7. Goal Programming and Multiple Objective Optimization. 8. Nonlinear Programming & Evolutionary Optimization. 9. Regression Analysis. 10. Data Mining. 11. Time Series Forecasting. 12. Introduction to Simulation Using Analytic Solver Platform. 13. Queuing Theory. 14. Decision Analysis. 15. Project Management (Online).
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