Contemporary marketing business in the European Union is currently dominated by large global companies, such as Google and Facebook, which have access to large amounts of data about the consumer journey. small and medium-sized enterprises (SMEs), instead, only have access to a fraction of those data and thus their decisions are based on intuition, experiments and data analysis in the small. This paper proposes a way of merging the data across consumer journey from various SMEs and, eventually, using big data analytics along with weather data to provide SMEs with valuable market insights to help them with marketing activities and category management to be able to compete with global players.

Creslovnik, D., Košmerlj, A., Ciavotta, M. (2018). Using historical and weather data for marketing and category management in eCommerce: The experience of EW-Shopp. In ACM International Conference Proceeding Series (pp.1-5). New York : Association for Computing Machinery [10.1145/3241403.3241436].

Using historical and weather data for marketing and category management in eCommerce: The experience of EW-Shopp

Ciavotta, Michele
2018

Abstract

Contemporary marketing business in the European Union is currently dominated by large global companies, such as Google and Facebook, which have access to large amounts of data about the consumer journey. small and medium-sized enterprises (SMEs), instead, only have access to a fraction of those data and thus their decisions are based on intuition, experiments and data analysis in the small. This paper proposes a way of merging the data across consumer journey from various SMEs and, eventually, using big data analytics along with weather data to provide SMEs with valuable market insights to help them with marketing activities and category management to be able to compete with global players.
paper
Big Data Analysis; ECommerce Category Management; ECommerce Marketing; Sales Prediction; Human-Computer Interaction; Computer Networks and Communications; 1707; Software
English
12th European Conference on Software Architecture, ECSA 2018
2018
ACM International Conference Proceeding Series
9781450364836
2018
1
5
a31
http://portal.acm.org/
open
Creslovnik, D., Košmerlj, A., Ciavotta, M. (2018). Using historical and weather data for marketing and category management in eCommerce: The experience of EW-Shopp. In ACM International Conference Proceeding Series (pp.1-5). New York : Association for Computing Machinery [10.1145/3241403.3241436].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/219488
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