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

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.

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Paper Citation


in Harvard Style

Aulkemeier F., Daukuls R., Iacob M., Boter J., van Hillegersberg J. and de Leeuw S. (2016). Sales Forecasting as a Service - A Cloud based Pluggable E-Commerce Data Analytics Service . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 345-352. DOI: 10.5220/0005915903450352


in Bibtex Style

@conference{iceis16,
author={Fabian Aulkemeier and Roman Daukuls and Maria-Eugenia Iacob and Jaap Boter and Jos van Hillegersberg and Sander de Leeuw},
title={Sales Forecasting as a Service - A Cloud based Pluggable E-Commerce Data Analytics Service},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={345-352},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005915903450352},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Sales Forecasting as a Service - A Cloud based Pluggable E-Commerce Data Analytics Service
SN - 978-989-758-187-8
AU - Aulkemeier F.
AU - Daukuls R.
AU - Iacob M.
AU - Boter J.
AU - van Hillegersberg J.
AU - de Leeuw S.
PY - 2016
SP - 345
EP - 352
DO - 10.5220/0005915903450352