Showing posts with label business analysis. Show all posts
Showing posts with label business analysis. Show all posts

Excel Data Analysis: Modeling and Simulation Review

Excel Data Analysis: Modeling and Simulation
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I was a graduate student of Professor Guerrero at The College of William and Mary and have to recommend this book. For those unfortunates who did not have him as an instructor, this is a book that gives you the experience of spending time with him in the classroom. The practical application of Excel as a modeling and simulation tool is delivered in a conversational style that engages the reader and occasionally generates a chuckle. Yes, a chuckle in a text that includes the words Excel, Modeling and Simulation in the title. However, inbetween the chuckles is solid theory and application. It's a clever text.
I would recommend this book if only for the discussion of the feng shui of worksheet development - as users, we sometimes don't think through the design of the excel workbook. We build and link, build and link, build and link...
So, Senior Brain, I put my workbook in your hands...

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This book is written for the students and practitioners who are looking for a single introductory Excel-based resource that covers three essential business and analytical skills-Data Analysis, Business Modeling, and Simulation of Complex Problems. The focus of the book is clearly on analysis of problems for decision making, yet detailed explanations regarding how to use Excel tools are provided. After many years of teaching and consulting, it is abundantly clear to me that for most students, a good example is worth its weight in gold. This book contains many excellent examples in each chapter, some simple and others more complex, and there is an abundance of exhibits to guide the student through the maze of steps necessary for each analysis.The content is quite diverse: data presentation - the Feng Shui of spreadsheets, effective communication and collaboration, data preparation - import, scrub, manipulate data, data analysis - statistical methods: descriptive, inferential, and predictive, Design of Experiments, modeling - deterministic, probabilistic, What-if, Scenarios, simulation - quantifying uncertainty, Monte Carlo Simulation, optimization - constrained, Linear Programming, non-linear models, Goal Seek.Couple these features with detailed discussions of how to realistically organize and extract insight from complex problems, and I believe you have a unique educational combination in one book.

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Accounting Ethics (Foundations of Business Ethics) Review

Accounting Ethics (Foundations of Business Ethics)
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This short text offers some good basic background information on ethics and then goes on to apply this to accounting. The focus is on public accounting and audit in particular, though the discussion also applies to the accounting field in general. However, this text does not go beyond the basics, and anyone who has spent some time thinking about the subject will have confronted most of these issues already. Still a worthwhile sumamry.

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