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Carlberg C. Predictive Analytics: Microsoft Excel

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Carlberg C. Predictive Analytics: Microsoft Excel
Que Publishing – 2012, 304 pages
ISBN: 0789749416, 9780789749413
Predictive Analytics: Microsoft® Excel
Excel predictive analytics for serious data crunchers!
The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win. You don’t need multimillion-dollar software: All the tools you need are available in Microsoft Excel, and all the knowledge and skills are right here, in this book!
Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real-world problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, showing how to gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS.
You’ll get an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code–much of it open-source–to streamline several of this book’s most complex techniques.
Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself.
Learn both the how and why of using data to make better tactical decisions
Choose the right analytics technique for each problem
Use Excel to capture live real-time data from diverse sources, including third-party websites
Use logistic regression to predict behaviors such as will buy versus won’t buy
Distinguish random data bounces from real, fundamental changes
Forecast time series with smoothing and regression
Construct more accurate predictions by using Solver to find maximum likelihood estimates
Manage huge numbers of variables and enormous datasets with principal components analysis and Varimax factor rotation
Apply ARIMA (Box-Jenkins) techniques to build better forecasts and understand their meaning.
About the Author
Counting conservatively, this is Conrad Carlberg’s eleventh book about quantitativeanalysis using Microsoft Excel, which he still regards with a mix of awe and exasperation. A look back at the About the Author paragraph in Carlberg’s first book, published in 1995, shows that the only word that remains accurate is He. Scary.
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