JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 52
Type: Invited
Date/Time: Sunday, August 3, 2014 : 4:00 PM to 5:50 PM
Sponsor: Business and Economic Statistics Section
Abstract #314118
Title: Application of Analytics in Today's 'Data-Driven' World
Author(s): Sinjini Mitra*+
Companies: California State University, Fullerton
Keywords: Analytics ; statistical models ; predictive models ; healthcare ; security ; visualization ; software
Abstract:

Business Analytics is the discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance and make decisions that drive businesses. Owing to the availability of massive amounts of data, the need for analytics is paramount today. In this talk, I will provide some examples of applications of analytics in different areas namely, healthcare, education, security, etc. by focusing on various statistical tools that are most widely employed. Some highlights and observations from recent case studies and research studies will be discussed. I will briefly mention some popular visualization techniques available today as well, particularly for representing big data, and conclude with an overview of various software packages and platforms available today for processing, analyzing and visualizing such data.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2014 program




2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.