Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 562128
Title Sales forecasting as a service : A cloud based pluggable e-commerce data analytics service
Author(s) Aulkemeier, Fabian; Daukuls, Roman; Iacob, Maria Eugenia; Boter, Jaap; Hillegersberg, Jos Van; Leeuw, Sander De
Source In: ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. - SciTePress (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems ) - ISBN 9789897581878 - p. 345 - 352.
Event 18th International Conference on Enterprise Information Systems, ICEIS 2016, Rome, 2016-04-25/2016-04-28
DOI https://doi.org/10.5220/0005915903450352
Publication type Contribution in proceedings
Publication year 2016
Keyword(s) Cloud service - Data analytics - Platform architecture - Sales forecasting
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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