Bharatendra Rai
Professor / Chairperson
Decision & Information Sciences
Contact
508-910-6434
508-999-8646
brai@umassd.edu
Charlton College of Business 326
Education
1991 | Meerut University, India | BA, Statistics |
1993 | Indian Statistical Institute, Calcutta India | MA, Quality, Reliability, & OR |
2004 | Wayne State University | PhD, Industrial Engineering |
Teaching
- Business Organization
- Process Management
- Business Statistics
- Quantitative Business Analysis
- Operations Management
Teaching
Programs
Programs
- General Business Administration BS
- Management Information Systems BS
- Operations Management—Business Analytics BS
- Technology Management MS
- Technology Management Online MS
Teaching
Online and Continuing Education Courses
Data analytics to describe, predict, advise decision-making, & improve business performance. The student will learn how to analyze business problems using a quantitative decision-making approach. This course focuses on methods, descriptive/predictive models for decision-making, & possible actions that would profit from analysis & results examined in a business context. This course is required of all undergraduate business majors.
Introduction to business analytics and data mining. Topics covered include data mining, exploratory data analysis, methods for classification and prediction, affinity analysis, multiple regression, logistic regression, discriminant analysis, and clustering. Applications of business analytics and data mining methodologies to a wide variety of real world business data are included.
Introduction to business analytics and data mining. Topics covered include data mining, exploratory data analysis, methods for classification and prediction, affinity analysis, multiple regression, logistic regression, discriminant analysis, and clustering. Applications of business analytics and data mining methodologies to a wide variety of real world business data are included.
Data analytics to describe, predict, advise decision-making, & improve business performance. The student will learn how to analyze business problems using a quantitative decision-making approach. This course focuses on methods, descriptive/predictive models for decision-making, & possible actions that would profit from analysis & results examined in a business context. This course is required of all undergraduate business majors.
Register for this course.
Data analytics to describe, predict, advise decision-making, & improve business performance. The student will learn how to analyze business problems using a quantitative decision-making approach. This course focuses on methods, descriptive/predictive models for decision-making, & possible actions that would profit from analysis & results examined in a business context. This course is required of all undergraduate business majors.
Register for this course.
Introduction to business analytics and data mining. Topics covered include data mining, exploratory data analysis, methods for classification and prediction, affinity analysis, multiple regression, logistic regression, discriminant analysis, and clustering. Applications of business analytics and data mining methodologies to a wide variety of real world business data are included.
Register for this course.
Principles and practices underlying the continuous improvement of quality in organizations. Students will be introduced to the concept of total quality management and learn to appreciate the importance of quality as a competitive strategy. Particular attention is given to philosophies and methods of organizing for quality and to quality improvement tools, including statistical process control.
Register for this course.
Research
Research interests
- Business analytics & data mining
- Big data research
- Reliability prediction
- Six-sigma
- Quality & reliability engineering
Select publications
- Xiaoling, Lu.; Rai, B.; Yan, Z.; Li, Y.
(2018).
Cluster-based Smartphone Predictive Analytics for Application Usage and Next Location Prediction
International Journal of Business Intelligence Research , 9(2), 64-80. - Rai, Bharatendra; Nepal, Bimal; Gunasekaran, Angappa; Li, Julia (2013).
Optimization of process audit plan for minimizing vehicle launch risk using MILP
International Journal of Procurement Management, 6, 379-393. - Gunasekaran, Angappa; Rai, Bharatendra; Griffin, Michael (2011).
Competitiveness of Small and Medium size Enterprises: An Empirical Research
International Journal of Production Research, 19, 5489-5509.
Latest from Bharatendra
Featured on
- April 28, 2022 UMassD students win first place at DataFest 2022