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

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Paper

Sales Forecasting as a Service - A Cloud based Pluggable E-Commerce Data Analytics Service

Topics: Collaborative Computing; Electronic Commerce; Interoperability; Web Services

In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, 345-352, 2016 , Rome, Italy

Authors: Fabian Aulkemeier ¹ ; Roman Daukuls ¹ ; Maria-Eugenia Iacob ¹ ; Jaap Boter ¹ ; Jos van Hillegersberg ¹ and Sander de Leeuw ²

Affiliations: ¹ VU University, Netherlands ; ² VU University and Nottingham Trent University, Netherlands

Keyword(s): Data Analytics, Sales Forecasting, Cloud Service, Platform Architecture.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Cloud Computing ; Collaboration and e-Services ; Collaborative Computing ; Complex Systems Modeling and Simulation ; Data Engineering ; e-Business ; Electronic Commerce ; Enterprise Information Systems ; Health Information Systems ; Integration/Interoperability ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Mobile Software and Services ; Ontologies and the Semantic Web ; Sensor Networks ; Services Science ; Simulation and Modeling ; Software Agents and Internet Computing ; Software and Architectures ; Software Engineering ; Software Engineering Methods and Techniques ; Symbolic Systems ; Telecommunications ; Web Services ; Wireless Information Networks and Systems

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 several formats:

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; ISSN 2184-4992, SciTePress, pages 345-352. DOI: 10.5220/0005915903450352

@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},
issn={2184-4992},
}

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
IS - 2184-4992
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
PB - SciTePress