Richard V. McCarthy,Mary M. McCarthy,Wendy Ceccucci
Applying Predictive Analytics: Finding Value in Data
Applying Predictive Analytics: Finding Value in Data
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- More about Applying Predictive Analytics: Finding Value in Data
The textbook provides a practical approach to predictive analytics for classroom learning, focusing on using analytics to solve business problems and comparing modeling techniques. It includes real-life examples and a running case to demonstrate how to build and analyze a complex analytics model.
Format: Hardback
Length: 274 pages
Publication date: 23 December 2021
Publisher: Springer Nature Switzerland AG
The latest edition of this textbook offers a practical and up-to-date approach to predictive analytics for classroom learning. The authors emphasize the use of analytics to address business challenges and compare various modeling techniques, all explained through examples using SAS Enterprise Miner software. By demystifying complex algorithms, the authors aim to demonstrate their practical applications and their role in enhancing business opportunities. Each chapter begins with an engaging vignette that showcases real-life examples of how business analytics has been implemented across different sectors to solve problems and improve outcomes. A comprehensive running case is provided to guide students through the process of building and analyzing a complex analytics model, and utilizing it to predict future outcomes.
To support predictive models, the new edition includes chapters on clusters and associations and text mining. An additional case is also included, which can be used as a standalone project or as a supplement to each chapter.
This textbook is an invaluable resource for students, educators, and professionals seeking to leverage the power of predictive analytics in their educational and professional endeavors.
Weight: 574g
Dimension: 160 x 242 x 24 (mm)
ISBN-13: 9783030830694
Edition number: 2nd ed. 2022
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