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dc.contributor.advisorDonna H Rhodes.en_US
dc.contributor.authorBhashyam, Sriram Balaji.en_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering and Management Program.en_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.date.accessioned2019-10-04T21:34:48Z
dc.date.available2019-10-04T21:34:48Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122441
dc.descriptionThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 92-107).en_US
dc.description.abstractAs Charles Darwin explained his theory of evolution "It is not the strongest of the species that survive, nor the most intelligent but the one that is most responsive to change". This statement holds good for the role of IT in the Biopharma world. Today the role of IT is rapidly evolving, and the IT organization's role has shifted from being a technologist to the role of change agent. This is mainly driven by the technological advancements in finding new drugs at a faster pace. This is expected to undergo this transformation for a foreseeable future. The IT organization should ensure that it is led by business priorities rather than delivering the business solutions and at a lower cost. This can be done through the organizational design, process and governance. The IT strategy must function in lock steps with the business strategy. The biopharmaceutical industry is experiencing a strong growth over the past decade compared to the other industries.en_US
dc.description.abstractAlmost all the pharmaceutical and biopharmaceutical companies are under tremendous pressure from the government agencies such as FDA and other financial regulations to ensure compliance as well as provide therapies to the patients at a reduced cost. With the new trends like predictive analytics, Artificial Intelligence, Machine Learning, Digital medicine and Outcome based pricing models, it is very important for the IT function within the biopharma organizations to innovate itself constantly. Maintaining the right balance between organizational performance and value delivery are the key drivers for architecting the IT enterprise. The research explores different architectural approaches through various different lens from a business point of view, stakeholder point of view, regulatory point of view etc. to determine the optimal organizational structure for an enterprise IT group in a biopharma organization.en_US
dc.description.abstractThe thesis also discusses the pros and cons of different types of IT organizational models and provides a recommendation on the future IT enterprise.en_US
dc.description.statementofresponsibilityby Sriram Balaji Bhashyam.en_US
dc.format.extent107 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering and Management Program.en_US
dc.subjectSystem Design and Management Program.en_US
dc.titleAnalyzing the IT architecture landscape in the biopharma Industriesen_US
dc.title.alternativeAnalyzing the information technology architecture landscape in the biopharma Industriesen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Engineering and Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering and Management Programen_US
dc.identifier.oclc1120725681en_US
dc.description.collectionS.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Programen_US
dspace.imported2019-10-04T21:34:47Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentSysDesen_US


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