Executive Summary With BalletOnline looking to expand electronic voting services in several

Executive Summary
With BalletOnline looking to expand electronic voting services in several countries and the current internal resources exhausted; it is time to consider cloud-based computing. Cloud-based computing is the practice of using a network of remote servers hosted on the Internet for storage, data processing, and management as well as a need base service platform provided dynamically through self-service (Karagozlu, Ajamu, & Mbombo, 2020; Thakur, Tao, Wang, & Ali, 2017). Cloud-based computing is comprised of five major characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured services. These characteristics will contribute to BalletOnline’s expansion goal of doing business faster at a lower cost while conserving IT resources.
The ability to share and access resources with anyone, anywhere, and at any time is key to growing the business. To maximize cost savings, BalletOnline can scale resources instantly without purchasing or decommissioning on-premises equipment, while paying only for the services used. Instead of a public cloud deployment model, a hybrid model could benefit BalletOnline if retaining data on the current infrastructure is being considered. Service and data availability are higher in the cloud compared to local servers because the services are structured for redundancy and are available 24/7/365 (Charif & Awad, 2016).
Guidance on how best to achieve the expansion goals for BalletOnline can be presented to executives on the board with the assistance of a third-party cloud service provider. The discussion will outline BalletOnline’s business needs, the available service and deployment models, and service level agreement (SLA) terms. The SLA should include terms guaranteeing privacy, data security, availability, data recovery, price points for service, etc. Based on BalletOnline’s current data center capacity, future growth, and more states and countries opting for electronic voting, cloud-based computing will position the company for endless business opportunities offering robust and reliable products to service their customer base.
Charif, B., & Awad, A. I. (2016). Towards smooth organisational adoption of cloud computing – a customer-provider security adaptation. Computer Fraud & Security, 2016(2), 7–15. https://doi-org.ezproxy.umgc.edu/10.1016/S1361-3723(16)30016-1
Karagozlu, D., Ajamu, J., & Mbombo, A.B. (2020). Adaptation and Effects of Cloud Computing on Small Businesses. BRAIN: Broad Research in Artificial Intelligence & Neuroscience, 11(4), 149–167. https://doi-org.ezproxy.umgc.edu/10.18662/brain/11.4/146.
Thakur, K., Tao, L., Wang, T., & Ali, M. L. (2017). Cloud Computing and its Security Issues. Application and Theory of Computer Technology, 2(1), 1-10. https://www.researchgate.net/publication/312934015_Cloud_Computing_and_its_Security_Issues