Practitioner perspectives on the role of Spatial Big Data in retail decision making.

Authors: Joseph Aversa*, Ryerson University, Tony Hernandez , Ryerson University, Sean Doherty, Wilfrid Laurier University
Topics: Business Geography, Marketing Geography, Economic Geography
Keywords: Big Data, Retail Location Planning, Retail Decision Making
Session Type: Paper
Scheduler ID: THU-026-10:00 a.m.
Day: 4/12/2018
Start / End Time: 10:00 AM / 11:40 AM
Room: Bacchus, Marriott, River Tower Elevators, 4th Floor


While it is clear that there has been a widespread collection and storing of data, questions still remain around whether or not the emergence of Big Data has had an impact specifically within the retail sector. Big Data is seen to offer broad, interconnected, spatio-temporal data that provides an increased level of sophistication and a more detailed understanding of consumer behavior. Amid a clear industry push to towards wanting more data-driven decision-making organizations have added pressure in attempting to leverage data into their planning processes. Approximately 20 analysts and managers responsible for retail location analytics within major Canadian firms were surveyed to identify how data and analytics have changed. The findings highlight the tools, techniques and data used to support retail location decisions as well as the opportunities and challenges for leveraging Spatial Big Data and new forms of analytics.

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