DEVELOPING AN ARCHITECTURAL FRAMEWORK FOR FACILITATING TRANSFORMATION TOWARDS DATA-DRIVEN ORGANIZATIONS

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2022-2-11
Kayabay, Kerem
Paradigm shifts such as digital transformation and Industry 4.0 produce complex data, also called big data. Businesses increasingly focus on exploiting big data for competitive advantage, leveraging data science. However, many industries cannot effectively leverage data science since no comprehensive approach allows strategic planning for organization-wide data science projects and data assets. After recognizing the industry`s need, this thesis explores the Data Science Roadmapping Framework`s (DSR) development to help businesses align their business strategy with data-related, technological, and organizational resources. First, it utilizes a systematic approach to identify factors related to data science usage in organizations and challenges that data- driven transforming organizations face. In the proposed DSR framework, the resulting knowledge is synthesized with well-established technology roadmapping (TRM) literature, customizing TRM according to context, architecture, and process. Lastly, this study adopts the action research design to validate and refine the proposed framework in multiple iterations. The results indicate that the framework can help businesses initiate data science roadmapping initiatives, taking a step towards becoming data-driven. The DSR initiative also facilitates communication among business functions and generates consensus between stakeholders, including data owners, domain experts, and IT experts. While contemporary studies in the literature illustrate prebuilt roadmaps to help businesses get data-driven, this study focuses on the process of roadmapping to generate a tailored roadmap, providing the benefits above.

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Citation Formats
K. Kayabay, “DEVELOPING AN ARCHITECTURAL FRAMEWORK FOR FACILITATING TRANSFORMATION TOWARDS DATA-DRIVEN ORGANIZATIONS,” Ph.D. - Doctoral Program, Middle East Technical University, 2022.