The buzz surrounding cloud computing for informatics applications continues. Everyone is aware of the many advantages and benefits offered by cloud computing (software, infrastructure, or platform as a service—SaaS, IaaS, PaaS). These are not just monetary, like lowering IT costs and reducing total cost of ownership (TCO), but also include increasing business agility, computing power, and storage capacity as well as fostering collaboration. It is clear that informatics applications have become digital natives, although the question of whether an on-premises or cloud-based solution is right for your organization remains a subject of debate. Regardless of the option chosen, the ability to interface systems in a cloud computing setting allows organizations to take advantage of their formerly separated streams of data.
Informatics systems offered in the cloud began as SaaS offerings and today have evolved to PaaS and even integrated PaaS (iPaaS). Hosting options can be done through a public or private cloud. A public cloud informatics system has multiple companies using the same code base simultaneously; however, the data for each is kept separate through encryption, firewalls, and access control. In a private cloud informatics system, only one company and their designated agents and partners are using the code base. The private cloud option is basically your own system that is being hosted and maintained by the provider. In both configurations, systems and instrument integrations are fully supported, although private clouds support more personalized customization.
Any industry, both regulated and nonregulated, can take advantage of cloud-based systems. The early adopters of informatics in the cloud were small- to mid-sized organizations, while the larger organizations lagged behind. This trend, while not surprising, was not solely based on financial considerations. The perceived security concerns that may at first have caused hesitation among notoriously risk-averse life sciences companies have been alleviated. Today, the majority of pharmaceutical companies have adopted some variety of a SaaS model for their informatics applications and data.
Small- to mid-sized organizations (regulated and nonregulated) deploy SaaS informatics in both public and private cloud settings. They have embraced SaaS for many reasons including:
So having less is actually better!
As mentioned previously, adoption of cloud informatics systems among large organizations got off to a slow start. This was especially true among the largest pharmaceutical companies, where although the cloud’s promise of better, bigger, cheaper, and faster made business sense, a number of concerns were holding them back:
However, with the growing need for data storage driven by huge quantities of data, especially next-generation gene sequencing data, use of the cloud by the pharmaceutical industry was inevitable.
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Has your business taken the leap and adopted a public or private cloud-based system? If not, what is holding you back?
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