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

Nazlıel K., Kayabay K., Gokalp M. O., Aydin E. G., Eren P. E., Koçyiğit A.

2024 IEEE International Conference on Technology Management, Operations and Decisions, ICTMOD 2024, Sharjah, United Arab Emirates, 4 - 06 November 2024, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ictmod63116.2024.10878174
  • City: Sharjah
  • Country: United Arab Emirates
  • Keywords: AI, Data Science, Maturity, Strategy, Technology Roadmapping, Topic Modeling
  • Middle East Technical University Affiliated: Yes

Abstract

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.