Managers and analysts routinely collect and examine key performance measures to better understand their operations and make good decisions. Being able to render the complexity of operations data into a coherent account of significant events requires an understanding of how to work well in the electronic environment with raw data.
Although some statistical and financial techniques for analyzing data are sophisticated and require specialized expertise, there are methods that are understandable and applicable by anyone with basic algebra skills and the support of a spreadsheet package. While specialized software packages may be used in a particular business setting, Microsoft Excel is routinely available on computer desktops. Managers who have been in the field any length of time may not be sufficiently familiar with the capabilities of Excel to make optimal use of its functionalities. Prior to undertaking a program to pursue executive training, managers who are refreshed with basic algebra skills and the capabilities of Excel will be prepared to develop a richer understanding from their more advanced work.
The primary foci of this text are:
This text is a companion to a series of books that addresses the analysis of sample data, time series data, managerial economics, and forecasting techniques. Together these books will equip the manager and the student with a solid understanding of applied data analysis and prepare them to apply the methods themselves.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Priscilla Chaffe-Stengel is a professor of Information Systems and Decision Sciences at California State University, Fresno. She received a PhD in design and evaluation of educational programs, an educational specialist degree in program evaluation from Stanford University, and an MA in mathematics from California State University, Fresno. Dr. Chaffe-Stengel has taught statistical analysis, quantitative analysis, and sampling at the university level; coordinates the quantitative and statistical analysis courses in the Craig School of Business; and teaches in both the MBA program and executive MBA program.
Donald N. Stengel is a professor and chair of the Department of Information Systems and Decision Sciences at California State University, Fresno. Previously he served as the director of the MBA program at California State University, Fresno. He received a PhD in engineering-economic systems from Stanford University. Prior to joining the faculty at California State University, Fresno, Dr. Stengel worked for 8 years as a management consultant, developing planning models for agriculture and energy. He teaches in both the MBA program and executive MBA program and is a member of the National Association for Business Economics, the Institute for Operations Research and Management Science, and the American Statistical Association.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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