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Business Analytics
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Business Analytics
Text and Cases

  • Tanushri Banerjee - Associate Professor of Information Systems, Pandit Deendayal Petroleum University, Gandhinagar
  • Arindam Banerjee - Professor of Marketing, IIM Ahmedabad

Other Titles in:
Business & Management

October 2019 | 332 pages | SAGE Texts
This textbook is a comprehensive, step-by-step learning guide to each aspect of business analytics and its role and significance in real-life business decision-making. 

Correct capture, analysis and interpretation of data can have an immense impact on business productivity. Therefore, business analytics has turned out to be a strategic need for sustainability and growth in this competitive world. Descriptive, predictive and prescriptive models and data mining techniques are increasingly being used to interpret large quantities of data for getting useful business insights.

Business Analytics: Text and Cases deals with the end-to-end journey from planning the approach to a data-enriched decision-problem, to communicating the results derived from analytics models to clients. Using cases from all aspects of a business venture (finance, marketing, human resource and operations), the book helps students to develop the skill to evaluate a business case scenario, understand the business problems, identify the data sources and data availability, logically think through problem-solving, use analytics techniques and application software to solve the problem and be able to interpret the results.

Key Features:

•Case studies of three degrees of difficulty level to enhance better understanding of the concepts

•Application of software tools such as Microsoft Excel, R, SPSS, RapidMiner and Tableau to assist learning in building models and communicating results using analytics, data mining and data visualization

•End of book Appendix consisting of step-by-step solved comprehensive case studies that discuss the concepts of all the chapters

•Special emphasis on the need to develop skill for interpreting the outcome from the statistical results and presenting it in a form easily understood by the end user/client

 
Foreword by Dr Suresh Divakar
 
Preface
 
Acknowledgements
 
Introduction to Business Analytics
 
Data Analytics for Business
 
Data Exploration in Business Analytics
 
Mapping Chart for Analytics Outcomes
 
Technology Infrastructure for Business Analytics
 
Analytical Methods for Parametric and Non-parametric Data
 
Analytical Methods for Complex Data
 
Data Mining Methods in Business Analytics
 
Interpreting the Statistical Outcomes
 
Documenting the Processes
 
Building the Storyboard of Outcomes
 
Appendices
 
Index

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Tanushri Banerjee

Tanushri Banerjee is an Associate Professor of Information Systems at the Business School, Pandit Deendayal Petroleum University, Gandhinagar. She has 20 years of work experience divided between academia and industry. Her career is a mix of national and international job profiles, which has led her to blend industrial technological advancements into evolving academic curriculum. Prior to her current position, she was the associate director at Duke Corporate Education (India), a joint venture between Duke University and IIM Ahmedabad. Her responsibilities included steering the operations and systems infrastructure management initiatives for... More About Author

Arindam Banerjee

Arindam Banerjee is a Professor of Marketing at IIM Ahmedabad. He has been associated with the institute for the past 18 years. Prior to his joining the institute, he was an analytics specialist in a management consulting firm in Chicago, IL. Before that he worked at AC Nielsen Corporation, United States, servicing the analytics requirement for Philip Morris Inc., where he gained market research experience. At IIM Ahmedabad, he teaches, consults and researches in marketing analytics and strategy. He has been involved in setting up the offshore analytics operations for a global bank in India and has been an analytics mentor for several... More About Author

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ISBN: 9789353287108
₹595.00