Therefore, this book is also very useful for people with little business background, such as recent graduates, to add the business perspective into their data mining exercise. He does not constrain himself to 'correct' statistical analysis. The second great strength is the book's organization and clarity. This book was designed with b
- Title : Data Preparation for Analytics Using SAS (SAS Press)
- Author : Gerhard Svolba Ph.D.
- Rating : 4.80 (131 Vote)
- Publish : 2016-1-20
- Format : Paperback
- Pages : 440 Pages
- Asin : 1599940477
- Language : English
Therefore, this book is also very useful for people with little business background, such as recent graduates, to add the business perspective into their data mining exercise. He does not constrain himself to 'correct' statistical analysis. The second great strength is the book's organization and clarity. This book was designed with businesses in mind, but the basic ideas apply easily to all sorts of research endeavors in which decision makers must gather and use data that were initially collected for some other purpose. Brannick PhD, Professor Graduate Program Director, Psychology Department, University of South FloridaDr. In my opinion, the book has two great strengths. First, the technical material in the book is wrapped in a sense of purpose and an awareness of the importance of context. Most of the examples in this book are designed with a specific business goal in mind. --Jin Li, Statistician, Capital One, Financial Services . --Michael T. The developmenThe photography is excellent, and the dogs are too cute! I'm sure she'll enjoy it, too.. The author is a theologian who has deep regard for Bonhoeffer and his legacy, having been a founder of the International Bonhoeffer Society, and was a close friend of Eberhard Bethge. Real participation of people and accountability to civil society represent other crucial components of his vision. It's as heartbreaking as it is unintentionally amusing, something to which anyone who has cared for a person with dementia can relate:"When I would call to check on him he would want to know who was calling. I very much like the approach of the book of guiding you through the processing steps of data preparation - such as derived variables (simple and more statistically sophisticated), transposing, aggregating, missing value and outlier handling, or even predictive modelling - in a very structured way. I figured I had nothing to lose, and ordered it. The incredible amount of research is obvious, and the personalities of the women who fought to preserve Florida come through. The roasted red pepper hummus I made tasted just like what you can get in the store, and though it was a little more work than what I've made in the past, the results were much better (smoother texture) than when I made it using canned garbanzo beans previously.As for content of the book, here are some general features I would like to see in a book like this:1. You wTopics addressed include viewing analytic data preparation in the light of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations for data preparation for time series analysis, using various SAS procedures and SAS Enterprise Miner for scoring, creating meaningful derived variables for all data mart types, using powerful SAS macros to make changes among the various data mart structures, and more!. Written for anyone involved in the data preparation process for analytics, this user-friendly text offers practical advice in the form of SAS coding tips and tricks, along with providing the reader with a conceptual background on data structures and considerations from the business point of view
. Gerhard Svolba, Ph.D., is a product manager and senior consultant at SAS Institute in Austria, where he specializes in analytics and Customer Intelligence. A SAS user since 1991, he has project experience ranging from conceptual considerations (both business and technical) to data preparation and analytic modeling. He has authored or co-authored numerous papers on medical statistics
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