Richard V. McCarthy, Mary M. McCarthy, Wendy Ceccucci

Applying Predictive Analytics

Finding Value in Data

• Gebundenes Buch

Produktbeschreibung

This textbook presents a practical approach to predictive analytics for classroom learning. It focuses 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 example of how business analytics have been used in various aspects of organizations to solve issue 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.

Produktdetails

• Verlag: Springer / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-14037-3
• 1st ed. 2019
• Seitenzahl: 205
• Englisch
• Abmessung: 18mm x 159mm x 362mm
• Gewicht: 485g
• ISBN-13: 9783030140373
• ISBN-10: 3030140377
• Artikelnr.: 55019315

Autorenporträt

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. He also serves as the director for the Master of Science in Business Analytics program. 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 as well as the MBA director. He served as a member of the board of the International Association for Computer Information Systems and is currently a member of the board of the EABOK project.

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 lies in Information Systems Pedagogy.

Inhaltsangabe

Introduction to Predictive Analytics.- Know Your Data - Data Preparation.- What do Descriptive Statistics Tell Us.- The First of the Big Three - Regression.- The Second of the Big Three - Decision Trees.- The Third of the Big Three - Neural Networks.- Model Comparisons and Scoring.- Appendix A.- Data Dictionary for the Automobile Insurance Claim Fraud Data Example.- Conclusion.