Organizational and cultural cloud adoption challenges. A case study of the data engineering team at Sievo.
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School of Business |
Master's thesis
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Authors
Date
2023
Department
Major/Subject
Mcode
Degree programme
Information and Service Management (ISM)
Language
en
Pages
85
Series
Abstract
In today's digital world, cloud computing has become a key force changing the operational dynamics of software-as-a-service (SaaS) businesses. This master's thesis explores the complex journey of cloud adoption based on a case study of the data engineering team at Sievo, the SaaS procurement analytics company, which is currently undergoing the cloud transformation via building and adopting the cloud integration platform to replace on-premises legacy systems. Although platforms built on cloud computing promise increased scalability, flexibility and operational efficiency, its implementation poses both technical and cultural challenges. Drawing on academic and practical insights, this study highlights the holistic transformation required in the organizations with the focus on the cultural challenges during the cloud adoption. A key finding of the study is the human-centric challenges associated with cloud adoption, which highlight the need for comprehensive organizational engagement and cultural change. By focusing on the Sievo transition, this thesis offers a unique mapping of theoretical insights and practical set of recommendations on efficient cloud adoption. The primary motivation is twofold: firstly, to deepen academic knowledge about the cultural and organizational challenges SaaS organizations face when adopting cloud technology, and secondly, to present a detailed analysis of the current challenges encountered by their data engineering team at the case company during the cloud transformation, accompanied by a strategic framework and set of actionable recommendations that will help to overcome these challenges. The study's findings could benefit not only the case company and academy, but also other SaaS organizations embarking on a similar cloud transformation journey.Description
Thesis advisor
Koskinen, KariKeywords
cloud adoption, infrastructure transformation, digital transformation, center of excellence, data engineering platform, change management