Details of the Management Science & Technology/Center for Business Analytics Research seminar on Friday, April 12, 2013, 10:30 11:45 AM, in 424 Su are as follows:
SPEAKERS
Bill Nixon
Vice President of IT Architecture and Development.
DST Systems, Inc.
and
Matthew Crouch
Director of Business Intelligence and Analytics
DST Systems, Inc.
SPEAKERS BIO-SKETCH
Bill joined DST Systems, Inc. in July 2011 as Vice President of Enterprise Portfolio Management and is currently Vice President of IT Architecture and Development. Bill's responsibilities include Solutions, Application and Technology Architecture, Enterprise Application Development, IT Automation, Data Management and Usability Engineering. Bill joined DST following a 19-year career at Fannie Mae, a government-sponsored enterprise (GSE) chartered by Congress with a mission to provide liquidity, stability and affordability to the U.S. housing and mortgage markets. Before joining Fannie Mae, Bill worked for American Management Systems, a high technology and management consulting firm. Bill is a 1989 graduate of the University of Pittsburgh, with a bachelor's degree in Computer Science.
Matthew Crouch is Director of Business Intelligence and Analytics at DST Systems Inc. Matt's experience includes over 18 years of IT experience Business intelligence, database administration, project management, technical design and consulting. Matt is currently in the MBA program at University of Kansas. He has a Bachelor of Science degree in Computer Information Systems from DeVry University.
TITLE OF PRESENTATION
Big Data – Big Deal?
ABSTRACT
So what's the Big Deal about Big Data? It's the latest buzz word to catch on and everyone seems to be using it. What is Big Data? What is DST's Strategy? What are DST's challenges with it?
PRIOR READING
None
WHEN
Friday, April 12, 2013, 10:30 - 11:45 AM
WHERE
424 Summerfield Hall
MS&T SEMINAR HOME PAGE
See http://web.ku.edu/~pshenoy/BUS936/ for details of other seminars scheduled during the semester.
NOTE
The MS&T/CBAR research seminars cover topics of current interest to School of Business doctoral students and faculty such as predictive analytics, artificial intelligence, uncertain reasoning, decision analysis, probability and statistics, supply chain management, econometrics, auditing, information systems, marketing research, computational finance, and their applications to business problems.