Applying Predictive Analytics: Finding Value in Data

The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning....
¥27,817 JPY
¥27,817 JPY
SKU: 9783030830694
Product Type: Books
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Author: Richard V. McCarthy
Format: Hardcover
Language: English
Subtotal: ¥27,817
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Applying Predictive Analytics: Finding Value in Data by McCarthy, Richard V.

Applying Predictive Analytics: Finding Value in Data

¥27,817

Applying Predictive Analytics: Finding Value in Data

¥27,817
Author: Richard V. McCarthy
Format: Hardcover
Language: English

The 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 complex analytics model and utilize it to predict future outcomes. The new edition includes chapters on clusters and associations and text mining to support predictive models. An additional case is also included that can be used with each chapter or as a semester project.



Author: Richard V. McCarthy, Mary M. McCarthy, Wendy Ceccucci
Publisher: Springer
Published: 12/23/2021
Pages: 274
Binding Type: Hardcover
Weight: 1.29lbs
Size: 9.21h x 6.14w x 0.69d
ISBN: 9783030830694

About the Author

Richard V. McCarthy (DBA, Nova Southeastern University, MBA, Western New England College) is a professor of Computer Information Systems at the School of Business, Quinnipiac University. Prior to this, Dr. McCarthy was an associate professor of management information systems at Central Connecticut State University. He has twenty years of experience within the insurance industry and has held a Charter Property Casualty Underwriter (CPCU) designation since 1991. He has authored numerous research articles and contributed to several textbooks. He has served as the associate dean of the School of Business, the MBA director, and the director of the Master of Science in Business Analytics program. In 2019, he was awarded the Computer Educator of the Year from the International Association for Computer Information Systems.

Wendy Ceccucci (PhD and MBA, Virginia Polytechnic University) is a Professor and Chair of Computer Information Systems at Quinnipiac University. Her teaching areas include business analytics and programming. She is the past president of the Education Special Interest Group (EDSIG) of the Association for Information Technology Professionals (AITP) and past Associate Editor of the Information Systems Education Journal (ISEDJ). Her research interests include Information Systems Pedagogy.

Mary McCarthy (DBA, Nova Southeastern University, MBA, University of Connecticut) is a professor and chair of Accounting, Central Connecticut State University. She has twenty years of financial reporting experience and has served as the controller for a Fortune 50 industry organization. She holds a CPA and CFA designation. She has authored numerous research articles.


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