Author:
Emmanuel Kayode Akinshola Ogunshile
Affiliation:
University of the West of England, United Kingdom
Keyword(s):
Big Data Analytics, Outdoor Advertising, Visual Analytics, GPS Analysis, Javascript, Query Algorithm Optimisation.
Related
Ontology
Subjects/Areas/Topics:
Cloud Computing
;
Communication and Software Technologies and Architectures
;
e-Business
;
Enterprise Architectures and Services
;
Enterprise Information Systems
;
Internet of Services
;
Languages, Tools and Architectures
;
Model-Driven Software Development
;
Service Modeling and Specification
;
Service-Oriented Architectures
;
Services Science
;
Software Engineering
;
Technology Platforms
Abstract:
Outdoor advertising is an old industry and the only reliably growing advertising sector other than online
advertising. However, for it to sustain this growth, media providers must supply a comparable means of
tracking an advertisement’s effectiveness to online advertising. The problem is a continual and emerging area
of research for large outdoor advertising corporations, and as a result of this, smaller companies looking to
join the market miss out on providing clients with valuable metrics due to a lack of resources. In this paper,
we discuss the processes undertaken to develop software to be used as a means of better understanding the
potential effectiveness of a fleet of private car, taxi or bus advertisements. Each of the steps present unique
challenges including big data visualisation, performance data aggregation and the inherent inconsistencies
and unreliabilities produced by tracking fleets using GPS. We cover how we increased the metric aggregation
algorithm performance by
roughly 20x, built an algorithm and process to render data heat maps on the server
side and how we built an algorithm to clean unwanted GPS ‘jitter’.
(More)