Data Science Technology Selection: Development of a Decision-Making Approach



Data science technology selection: development of a decision-making approach
Nazlıel, Kerem; Eren, Pekin Erhan; Kayabay, Kerem; Department of Information Systems (2022-12-29)
Developments in IT, Cloud, Analytics, and related fields have created an abundance of Data Science technologies for practitioners, developers, and organizations to use. This abundance and variety complicate the Data Science technology selection and management processes for the analytics teams. When teams select and use improper tools and technologies, they encounter problems and inefficiencies, also known as technical debt. As a remedy, this thesis proposes a systematic technology selection method consideri...
Data Science Roadmapping: Towards an Architectural Framework
KAYABAY, KEREM; Gökalp, Mert Onuralp; Gökalp, Ebru; Eren, Pekin Erhan; Koçyiğit, Altan (2020-11-24)
The availability of big data and related technologies enables businesses to exploit data for competitive advantage. Still, many industries face obstacles while leveraging data science to overcome business problems. This paper explores the development of a roadmapping approach to address data science challenges. Towards this goal, we customize technology roadmapping by synthesizing roadmapping, big data, data science, and data-driven organization literature. The resulting data science roadmapping approach li...
Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization
Kayabay, Kerem; Gökalp, Mert Onuralp; Eren, Pekin Erhan; Koçyiğit, Altan (2022-01-01)
Leveraging data science can enable businesses to exploit data for competitive advantage by generating valuable insights. However, many industries cannot effectively incorporate data science into their business processes, as there is no comprehensive approach that allows strategic planning for organization-wide data science efforts and data assets. Accordingly, this study explores the Data Science Roadmapping (DSR) to guide organizations in aligning their business strategies with data-related, technological,...
Data Science Capability Maturity Model
Gökalp, Mert Onuralp; Koçyiğit, Altan; Department of Information Systems (2021-11-09)
Today, data science presents immense opportunities in attaining competitive advantage, generating business value, and driving revenue streams for organizations. Data science has also significantly changed our understanding of how businesses should operate. In order to survive, it is now indispensable for a contemporary organization to adopt data science as part of its business processes. However, organizations face difficulties in managing their data science endeavors for reaping these potential benefits....
Data Science Education for Developing Countries: the Process of Democratization
Gökalp Yavuz, Fulya (2022-08-26)
Citation Formats
K. Nazlıel, “Data Science Technology Selection: Development of a Decision-Making Approach,” presented at the 2022 IEEE Technology and Engineering Management Conference (TEMSCON EUROPE), İzmir, Türkiye, 2022, Accessed: 00, 2022. [Online]. Available: