AMCIS 2013 Workshops
Capabilities and Educational Applications
Based on your requests, we are sharing the materials presented at the Smarter Analytics and Big Data workshops held on Aug 15 at the
AMCIS conference in Chicago. Be sure to also take a look at the faculty guides which are included at the bottom of this page.
They are excellent resources which explain where and how to get started.
The volume, velocity, variety, and veracity of data is requiring new skills, new knowledge and new kinds of decision making. At a time when applying analytics to big data has become an imperative, enterprises today have identified a shortage of critical skills such as business analytics. This Smarter Analytics session will focus on how faculty could approach building analytics skills from this joint presentation delivered by an industry speaker and an university professor. From an industry perspective, faculty will learn about the enterprise level resources which are available for use in curriculum while at the same time gaining access to use cases, data sets, full-version software and courseware developed to enable higher education faculty to use industry materials all at no-charge. From a teaching perspective, faculty will hear about the experiences in setting up an Analytics degree program.
Speakers and Presentations:
AMCIS Presentation NK vF.pdf Nick Kadochnikov, IBM Business Analytics Transformation
IBM-Workshop-2013-08-15-AD.pdf Dr Amit Deokar, Dakota State University, College of Business & Information Systems
In today's world big data is being referenced by industry analysts, creating new market opportunities, leading the development of new concentrations and majors and defining a whole new set of skills being sought after by organizations across most industries. This discussion will focus on ways for universities and faculty to enable undergraduates and graduates to be skilled in this big data area that is constantly changing and making news daily. One approach is to focus on why so may industries/businesses are looking for these skills and introduce faculty to ways to get access to the industry tools and expertise. This Big Data session will focus on how faculty could position big data from this joint presentation delivered by a university professor and an industry professional. From an industry perspective, faculty will learn about the enterprise level resources which are available for use in curriculum while at the same time gaining access to use cases, data sets, full-version software and courseware developed to enable higher education faculty to use industry materials all at no-charge.
Speakers and Presentations:
Additional Resources and Links:
IBM Academic Initiative Faculty Key Websites 08232013.doc (includes suggested links to data sets)