Big Data and the Commoditization of Analytics: Engaging First-Year Business Students with Analytics
ARTICLE
Amir Hassan Zadeh, Shu Schiller, Kevin Duffy, Jonathan Williams
EBEST Volume 12, Number 1,
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 first-year 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
Citation
Zadeh, A.H., Schiller, S., Duffy, K. & Williams, J. (2018). Big Data and the Commoditization of Analytics: Engaging First-Year Business Students with Analytics. e-Journal of Business Education and Scholarship of Teaching, 12(1), 120-137. Retrieved September 23, 2023 from https://www.learntechlib.org/p/191113/.
This record was imported from
ERIC on January 9, 2019. [Original Record]
ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.
Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.
