Developing a Strategic Data Science Roadmap through Trend Analysis and Digital Maturity Assessment

Date

2024-01-01

Author

Nazlıel, Kerem
Kayabay, Kerem
Gokalp, Mert Onuralp
Aydin, Ebru Gokalp
Eren, Pekin Erhan
Koçyiğit, Altan

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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The rapid advancements in Data Science and Artificial Intelligence require organizations to create strategic roadmaps that align with both technological trends and business objectives. This paper introduces a data-driven approach for developing such strategies, integrating Digital Maturity Assessment, Multivocal Literature Review, Topic Modeling, and SWOT analysis within the Data Science Roadmapping (DSR) framework. The proposed approach aims to enhance the accuracy and relevance of roadmap development by combining multiple tools for comprehensive trend identification and organizational capability assessment. Ongoing validation through case studies will assess its practical application and effectiveness.

Subject Keywords

AI, Data Science, Maturity, Strategy, Technology Roadmapping, Topic Modeling

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=86000019466&origin=inward
https://hdl.handle.net/11511/114363

Collections

Graduate School of Informatics, Conference / Seminar