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

NAZLIEL K., Kayabay K., Gokalp M. O., Aydin E. G., EREN P. E., KOÇYİĞİT A.

2024 IEEE International Conference on Technology Management, Operations and Decisions, ICTMOD 2024, Sharjah, Birleşik Arap Emirlikleri, 4 - 06 Kasım 2024 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ictmod63116.2024.10878174
  • Basıldığı Şehir: Sharjah
  • Basıldığı Ülke: Birleşik Arap Emirlikleri
  • Anahtar Kelimeler: AI, Data Science, Maturity, Strategy, Technology Roadmapping, Topic Modeling
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.