Big data and the commoditization of analytics: Engaging first-year business students with analytics

Amir Hassan Zadeh, Shu Schiller, Kevin Duffy, Jonathan Williams

Research output: Contribution to journalArticlepeer-review

Abstract

The age of data analytics requires "data scientists” across a wide range of business
disciplines with deep knowledge of how to manage and analyse vast amounts of data to
support decision-making. As a result, new analytical tools are being taught in the
Management Information Systems (MIS) or business analytics (BA) programs to foster
students’ development of this critical competency. Three waves of analytics tools are
considered from an experiential perspective including how to introduce analytics to firstyear business students using an advanced data analytics software package with multiple
techniques and data flow interface. SAS Enterprise Miner is used to teach technical
topics and perform business-centric data analytics. An innovative exercise is designed in
such a way that it guides first-year business students through a learning analytics
journey to motivate them to understand the notion of data analytics and to develop
skills around this emerging area without delving too much into extraneous technical
details. A post-course survey indicated that the exercise helped students understand the
opportunities as well as the challenges in doing analytics.
Original languageAmerican English
JournalE-Journal of Business Education & Scholarship of Teaching
Volume12
Issue number1
StatePublished - 2018

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