Moving ERP Systems to the Cloud - Data Security Issues
Pablo Saa 1 * , Andrés Cueva Costales 2, Oswaldo Moscoso-Zea 1, Sergio Lujan-Mora 3
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1 Faculty of Engineering Sciences, Universidad Tecnológica Equinoccial, Quito, ECUADOR
2 DGPCTI Public Company Yachay, Quito, ECUADOR
3 Dept. of Software and Computing Systems, University of Alicante, Alicante, SPAIN
* Corresponding Author

Abstract

This paper brings to light data security issues and concerns for organizations by moving their Enterprise Resource Planning (ERP) systems to the cloud. Cloud computing has become the new trend of how organizations conduct business and has enabled them to innovate and compete in a dynamic environment through new and innovative business models. The growing popularity and success of the cloud has led to the emergence of cloud-based Software-as-a-Service (SaaS) ERP systems, a new alternative approach to traditional on-premise ERP systems. Cloud-based ERP has a myriad of benefits for organizations. However, infrastructure engineers need to address data security issues before moving their enterprise applications to the cloud. Cloud-based ERP raises specific concerns about the confidentiality and integrity of the data stored in the cloud. Such concerns that affect the adoption of cloud-based ERP are based on the size of the organization. Small to medium enterprises (SMEs) gain the maximum benefits from cloud-based ERP as many of the concerns around data security are not relevant to them. On the contrary, larger organizations are more cautious in moving their mission critical enterprise applications to the cloud. A hybrid solution where organizations can choose to keep their sensitive applications on-premise while leveraging the benefits of the cloud is proposed in this paper as an effective solution that is gaining momentum and popularity for large organizations.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.20897/jisem.201721

J INFORM SYSTEMS ENG, 2017 - Volume 2 Issue 4, Article No: 21

Publication date: 30 Aug 2017

Article Views: 4864

Article Downloads: 3648

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