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Applying Predictive Analytics: Finding Value in. McCarthy, McCarthy, Cec HB**
Applying Predictive Analytics: Finding Value in. McCarthy, McCarthy, Cec HB**
Applying Predictive Analytics: Finding Value in. McCarthy, McCarthy, Cec HB**
Applying Predictive Analytics: Finding Value in. McCarthy, McCarthy, Cec HB**
Applying Predictive Analytics: Finding Value in. McCarthy, McCarthy, Cec HB**

Applying Predictive Analytics: Finding Value in. McCarthy, McCarthy, Cec HB**

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Applying Predictive AnalyticsFinding Value in Data\nAuthor(s): Richard V. McCarthy, Mary M. McCarthy, Wendy Ceccucci\nFormat: Hardback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783030830694, 978-3030830694\nSynopsis\nThe new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life examples of how business analytics have been used in various aspects of organizations to solve issues or improve their results. A running case provides an example of a how to build and analyze a compl.

Applying Predictive Analytics: Finding Value in. McCarthy, McCarthy, Cec HB**

Applying Predictive AnalyticsFinding Value in Data\nAuthor(s): Richard V. McCarthy, Mary M. McCarthy, Wendy Ceccucci\nFormat: Hardback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783030830694, 978-3030830694\nSynopsis\nThe new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life examples of how business analytics have been used in various aspects of organizations to solve issues or improve their results. A running case provides an example of a how to build and analyze a compl.

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