Decision Analytics: Microsoft Excel

Que Publishing
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Crunch Big Data to optimize marketing and more!

Overwhelmed by all the Big Data now available to you? Not sure what questions to ask or how to ask them? Using Microsoft Excel and proven decision analytics techniques, you can distill all that data into manageable sets—and use them to optimize a wide variety of business and investment decisions. In Decision Analytics: Microsoft Excel, best selling statistics expert and consultant Conrad Carlberg will show you how—hands-on and step-by-step.

Carlberg guides you through using decision analytics to segment customers (or anything else) into sensible and actionable groups and clusters. Next, you’ll learn practical ways to optimize a wide spectrum of decisions in business and beyond—from pricing to cross-selling, hiring to investments—even facial recognition software uses the techniques discussed in this book!

Through realistic examples, Carlberg helps you understand the techniques and assumptions that underlie decision analytics and use simple Excel charts to intuitively grasp the results. With this foundation in place, you can perform your own analyses in Excel and work with results produced by advanced stats packages such as SAS and SPSS.

This book comes with an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code to streamline several of its most complex techniques.

  • Classify data according to existing categories or naturally occurring clusters of predictor variables
  • Cut massive numbers of variables and records down to size, so you can get the answers you really need
  • Utilize cluster analysis to find patterns of similarity for market research and many other applications
  • Learn how multiple discriminant analysis helps you classify cases
  • Use MANOVA to decide whether groups differ on multivariate centroids
  • Use principal components to explore data, find patterns, and identify latent factors

Register your book for access to all sample workbooks, updates, and corrections as they become available at quepublishing.com/title/9780789751683.

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About the author

Conrad Carlberg has written eleven books about quantitative analysis with Excel, including Statistical Analysis: Microsoft® Excel 2010 and Predictive Analytics: Microsoft® Excel. His company, found at www.conradcarlberg.com, focuses on the quantitative analysis of data that companies routinely collect in their sales, employee, customer management and other operations database systems. Carlberg holds a Ph.D. in statistics from the University of Colorado and has 25 years’ experience applying advanced analytical techniques.

Conrad Carlberg lives near San Diego with his wife, not too far from the beach, but high enough that the rise in the sea level is unlikely to convert their home to waterfront property. Two cats round out the indoor menagerie; the three rabbits are required to stay outside.

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Additional Information

Publisher
Que Publishing
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Published on
Oct 31, 2013
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Pages
336
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ISBN
9780133481686
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Language
English
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Genres
Business & Economics / Statistics
Computers / Desktop Applications / Spreadsheets
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Content Protection
This content is DRM protected.
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Eligible for Family Library

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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

A New York Times bestseller

"Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle

Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.

For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.

And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

Statistical Analysis: Microsoft Excel 2010

“Excel has become the standard platform for quantitative analysis. Carlberg has become a world-class guide for Excel users wanting to do quantitative analysis. The combination makes Statistical Analysis: Microsoft Excel 2010 a must-have addition to the library of those who want to get the job done and done right.”

—Gene V Glass, Regents’ Professor Emeritus, Arizona State University

Use Excel 2010’s statistical tools to transform your data into knowledge

Use Excel 2010’s powerful statistical tools to gain a deeper understanding of your data,
make more accurate and reliable inferences, and solve problems in fields ranging from business to health sciences.

Top Excel guru Conrad Carlberg shows how to use Excel 2010 to perform the core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features, including its new consistency functions. Along the way, you discover the most effective ways to use correlation and regression and analysis of variance and covariance. You see how to use Excel to test statistical hypotheses using the normal, binomial, t and F distributions.

Becoming an expert with Excel statistics has never been easier! You’ll find crystal-clear instructions, insider insights, and complete step-by-step projects—all complemented by an extensive set of web-based resources.

• Master Excel’s most useful descriptive and inferential statistical tools

• Tell the truth with statistics, and recognize when others don’t

• Accurately summarize sets of values

• View how values cluster and disperse

• Infer a population’s characteristics from a sample’s frequency distribution

• Explore correlation and regression to learn how variables move in tandem

• Understand Excel’s new consistency functions

• Test differences between two means using z tests, t tests, and Excel’s
Data Analysis Add-in

• Use ANOVA and ANCOVA to test differences between more than two means

• Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha

There is an Excel workbook for each chapter, and each worksheet is keyed to one of the book's figures. You'll also find additional material, such as a chart that demonstrates how statistical power shifts as you manipulate sample size, mean differences, alpha and directionality. To access these free files, please visit http://www.quepublishing.com/title/0789747200 and click the Downloads Tab.

Accurate, practical Excel predictive analysis: powerful smoothing techniques for serious data crunchers!

In More Predictive Analytics, Microsoft Excel® MVP Conrad Carlberg shows how to use intuitive smoothing techniques to make remarkably accurate predictions. You won’t have to write a line of code--all you need is Excel and this all-new, crystal-clear tutorial.

Carlberg goes beyond his highly-praised Predictive Analytics, introducing proven methods for creating more specific, actionable forecasts. You’ll learn how to predict what customers will spend on a given product next year… project how many patients your hospital will admit next quarter… tease out the effects of seasonality (or patterns that recur over a day, year, or any other period)… distinguish real trends from mere “noise.”

Drawing on more than 20 years of experience, Carlberg helps you master powerful techniques such as autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling.

Step by step, you’ll learn how to make the most of built-in Excel tools to gain far deeper insights from your data. To help you get better results faster, Carlberg provides downloadable Excel workbooks you can easily adapt for your own projects.

If you’re ready to make better forecasts for better decision-making, you’re ready for More Predictive Analytics.

Discover when and how to use smoothing instead of regression Test your data for trends and seasonality Compare sets of observations with the autocorrelation function Analyze trended time series with Excel’s Solver and Analysis ToolPak Use Holt's linear exponential smoothing to forecast the next level and trend, and extend forecasts further into the future Initialize your forecasts with a solid baseline Improve your initial forecasts with backcasting and optimization Fully reflect simple or complex seasonal patterns in your forecasts Account for sudden, unexpected changes in trends, from fads to new viral infections Use range names to control complex forecasting models more easily Compare additive and multiplicative models, and use the right model for each task

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