Leveraging Enterprise Architecture to Address Big Data Analytics Challenges in the Retail Industry
by Ruchika Ambekar, Jenna Lynn Ong, Thu Thao Nguyen, Palak Sharma, Rowena Rae Tanafranca and Rod Dilnutt
Introduction
Big Data for the purposes of analytics has become somewhat mainstream in businesses over the past decade or so, particularly in the “big end of town”. Implementing this set of technologies and responsibilities, however, can be enormously challenging. One industry segment that has adopted Big Data Analytics strongly is Retail, which is the focus of this paper from students at the University of Melbourne. Through an analysis of the TOGAF and Zachman frameworks, the authors have identified how Enterprise Architecture can be used to ensure successful outcomes when adopting Big Data Analytics for competitive advantage.
Acknowledgement
The paper has been created under the supervision of Dr Rod Dilnutt, School of Computing and Information Systems, The University of Melbourne.
