GeographyComputer Science

Manuela Aparicio, Carlos J. Costa

2015.1.13Public Services Quarterly

DOI: 10.1007/978-981-15-2282-6

tlooto Summary

This study uses point of deals data attained from a supermarket chain to dissect and show the relationship between purchase goods at the same time and proposes an easy- to- handle visualization system to show the goods that are inter-related.

Abstract

In recent times, big data analysis is gaining immense credence in the fields of academics and business. Businesses similar as operation and marketing have demonstrated a strong inclination and interest in data analytics. Still, numerous businesses are unfit to use data indeed if they have access to it. The main reason for that's the lack of familiarity with data analytics procedures. Hence, a system needs to be developed that can perform data analytics and demonstrate its benefits. In this study, we use point of deals data attained from a supermarket chain to dissect and show the relationship between purchase goods at the same time. A supermarket is one of the ideal places to demonstrate data analysis because retail stores have numerous purchase records and are always conducting colorful marketing conditioning. We propose an easy- to- handle visualization system to show the goods that are inter-related. By using our system, a store director can gain information about the item deals fluently and interactively.

Citation format

APARICIO, Manuela; COSTA, Carlos J. Data visualization. Public Services Quarterly, 2015, 11: 183–192.