Sales forecasting as a service: A cloud based pluggable e-commerce data analytics service

Fabian Aulkemeier, Roman Daukuls, Maria Eugenia Iacob, Jaap Boter, Jos Van Hillegersberg, Sander De Leeuw

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

2 Citations (Scopus)

Abstract

Data analysts are increasingly important for companies to extract critical information from their vast amount of data in order to be competitive. Data analytics specialists or data scientists develop statistical models and make use of dedicated software components for example to categorize products and forecast future sales. Their unique skill set is among the most sought after in the current job market. Cloud computing on the other hand helps companies to acquire services in the cloud and share the required expertise for delivery among service users. In this paper we take a cross disciplinary approach to develop a data analytics technique and a platform based IT architecture that allows to outsource sales forecasting analytics into the cloud.

Original languageEnglish
Title of host publicationICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems
EditorsLeszek Maciaszek, Olivier Camp, Jose Cordeiro, Slimane Hammoudi, Leszek Maciaszek, Michele M. Missikoff, Jose Cordeiro
PublisherSciTePress
Pages345-352
Number of pages8
ISBN (Electronic)9789897581878
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event18th International Conference on Enterprise Information Systems, ICEIS 2016 - Rome, Italy
Duration: 25 Apr 201628 Apr 2016

Publication series

NameICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems
Volume2

Conference

Conference18th International Conference on Enterprise Information Systems, ICEIS 2016
CountryItaly
CityRome
Period25/04/1628/04/16

Keywords

  • Cloud service
  • Data analytics
  • Platform architecture
  • Sales forecasting

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