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Advanced Business Analytics (for IBS Students)

Author(s): William G. Zikmund, Barry J. Babin, Jon C. Carr, Mitch Griffin, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann | Munmun Ghosh | Contributing Authors: Ramesh Kandela; Shubhagata Roy

ISBN: 9789366609300

1st Edition

₹1050

Binding: Paperback

Pages: 794

Trim Size : 254 x 204 mm

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This textbook is in continuation of Introduction to Business Analytics that focused on the basic concepts of business analytics covered in the I-semester of the MBA program at IBS. The book intends to introduce advanced topics in analytics to the students in the fields of business administration and economics, who have gone through the basic course. The text is application-oriented and written with students with non-mathematics background in mind, keeping the understanding of algebra as a pre-requisite. The book covers predictive analytics in-depth through chapters on regression and time-series modeling and forecasting. These chapters are followed by data reduction, segmentation, and classification techniques of analytics. Likewise, prescriptive analytics is covered through linear optimization models. Since data is the ammunition for the application of analytics and for answering research questions, the initial chapters are devoted to the fundamentals of business research and the data-collection process for research.

Updated Edition
New Data Analysis and Data Visualization Tool in Excel
New Section on Data Cleansing
Case Problems
Examples and Exercises based on Real Data
Continued Features and Pedagogy
Integration of Microsoft Excel
Analytics in Action
Methods Exercises and Application Exercises
Margin Annotations and Notes and Comments
Data Files Accompany the Text

CD App includes: Student resources

1   Introduction to Business Research
2   Attitude Measurement
3   Questionnaire Design
4   Simple Linear Regression
5   Multiple Regression
6   Time Series Analysis and Forecasting
7   Exploratory Factor Analysis
8   Cluster Analysis
9   Linear Optimization Models
10   Decision Analysis
11   Appendix: Tables

William G. Zikmund

Barry J. Babin

Max P. Watson Professor of Business, Louisiana Tech University; Reims Management School

Jon C. Carr

Texas Christian University

Mitch Griffin

Professor of Marketing, Bradley University

David R. Anderson

University of Cincinnati

Dennis J. Sweeney

University of Cincinnati

Thomas A. Williams