A Set-based Visual Analytics Approach to Analyze Retail Data

Adnan, Muhammad; Ruddle, Roy A.

A Set-based Visual Analytics Approach to Analyze Retail Data

Files

037-041.pdf (336.02 KB)

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Date

2018

Authors

Adnan, Muhammad
Ruddle, Roy A.

Publisher

The Eurographics Association

Abstract

This paper explores how a set-based visual analytics approach could be useful for analyzing customers' shopping behavior, and makes three main contributions. First, it describes the scale and characteristics of a real-world retail dataset from a major supermarket. Second, it presents a scalable visual analytics workflow to quickly identify patterns in shopping behavior. To assess the workflow, we conducted a case study that used data from four convenience stores and provides several insights about customers' shopping behavior. Third, from our experience with analyzing real-world retail data and comments made by our industry partner, we outline four research challenges for visual analytics to tackle large set intersection problems.

        @inproceedings{10.2312:eurova.20181110
,
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)
},
editor = {Christian Tominski and Tatiana von Landesberger
},
title = {{A Set-based Visual Analytics Approach to Analyze Retail Data
}},
author = {Adnan, Muhammad and 
Ruddle, Roy A.
},
year = {2018
},
publisher = {The Eurographics Association
},
ISBN = {978-3-03868-064-2
},
DOI = {10.2312/eurova.20181110
}
}