Introduction to Data Analytics and Emerging Real-World Use Cases

Authors

Art Chaovalitwongse, University of Arkansas, Fayetteville

Document Type

Video

Streaming Media

Publication Date

11-27-2018

Keywords

Data Analytics, Operations Management, Descriptive Statistics, Predictive Statistics, Prescriptive Statistics, Healthcare Analytics, Retail Analytics, Financial Analytics

Collection

MSOM Lunch and Learn Webinar Series

Abstract

Data analytics is a rapidly emerging interdisciplinary research area that involves advances in engineering, computer science, statistics and operations research. This webinar is focused on introducing the foundation of data analytics and emerging real-world use cases of data analytics. This presentation will begin with a discussion of the mathematical and statistical modeling aspects of various levels of data analytics (i.e., descriptive, predictive and prescriptive). In this webinar, you will hear an overview of data analytics in real world problems ranging from healthcare analytics, retail analytics and financial analytics.

Comments

Dr. Art Chaovalitwongse

Moderated by Mindy Hunthrop, MSOM Program Coordinator/Advisor

Citation

Chaovalitwongse, A. (2018). Introduction to Data Analytics and Emerging Real-World Use Cases. Operations Management Presentations. Retrieved from https://scholarworks.uark.edu/opmapub/20