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dc.contributor.authorJha, Robin.en_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.date.accessioned2022-08-31T16:29:20Z
dc.date.available2022-08-31T16:29:20Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/145228
dc.descriptionThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2020en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 63-66).en_US
dc.description.abstractDigital Transformation (DT) is defined as the "use of technology to radically improve performance or reach of enterprises" [35]. The never-ending acceleration towards faster and cheaper computing resources has enabled software to be delivered on increasingly compact timelines - measured in weeks or even days. In parallel, leaps in technologies such as analytics, social media, mobile computing, etc. are changing the business landscape. As a result of these internal and external factors, businesses are continuously under pressure to undergo transformation to stay competitive. However, facilitating DT is a challenging undertaking for any organization and needs to be understood and executed with clarity in vision and business direction. The goal of this study is to analyze existing DT frameworks and introduce a pragmatic DT framework which would allow organizations to stay up-to-date with the latest trends while improving efficiency and flexibility, ultimately resulting in increased customer satisfaction and higher revenue. The scope for this study encompasses evaluation of different architectures, technology stacks, development, testing, deployment, and operational methodologies as well as changes in cultural and business processes required to realize this goal. Throughout the journey, the impact of DT on the organization is constantly measured using custom-defined metrics and Key Performance Indicators (KPIs). We conclude by discussing the implications of this model while raising questions for future work to further validate this model across other business domains.en_US
dc.description.statementofresponsibilityby Robin Jha.en_US
dc.format.extent66 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering Systems Division.en_US
dc.subjectSystem Design and Management Program.en_US
dc.titleAnalyzing the impact of digital transformation on businessen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Engineering and Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Divisionen_US
dc.contributor.departmentSystem Design and Management Program.en_US
dc.identifier.oclc1341992054en_US
dc.description.collectionS.M. in Engineering and Management Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Programen_US
dspace.imported2022-08-31T16:29:20Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentSloanen_US


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