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Cloud Computing in Pharma Industry
Joe Touey, Senior Vice President, GSK North America Pharmaceuticals IT


Joe Touey, Senior Vice President, GSK North America Pharmaceuticals IT
Many Pharma and life sciences companies consume Cloud computing in the form of software-as-a-service. GSK deploys all email and collaboration technology— in the Microsoft cloud. Hence we operate in several countries with hundred thousand employees; and use global standard solutions instead of localized solutions. GSK’s quick deployment and standard solutions makes it easy to get currency of functionality. Being in the cloud, upgrades for software service and new functionality is acquired thrice a year from suppliers. When deployed internally, a company has to spend a huge capital to continue to upgrade but GSK has that built-in from the start. From the cost perspective—it’s a variable cost, its cluster user and is very predictable. It’s not as capital intensive, but one has to lay a considerable software front. The company’s long term benefit is the ability to share information across other companies and globally, it is enhanced in these areas over time. Proactive Use of Data In case of HR, it’s difficult to get information of human matrix in a standard way, not just for employees but all the contractors. The cloud in the HR analytics space has helped to get through standard view and gain a better insight. With regard to Big Data in R&D, companies have a lot of scientific data and in the commercial space and there is a significant amount of customer data, patient data, and paired data. This area is complex, and there are three things to be done. First step involves deciding if one wants to outsource this data or in-source it. This has to be done in terms of Big Data, with regard to R&D data, commercial data, the big analytics, and marketing pair. There is a balance in Big Data internally and they are standardized. GSK also offers a degree in that same environment for flexibility to do new analytics. The company also creates analytical labs in that same environment except they get the same data. One needs to pay attention to the crumbs of assorted data, and has to create a
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