Customizing and Deploying Data Science Roadmapping: A Case Study of an Oil and Gas Company

Many organizations still face challenges leveraging data science in production and need strategic planning for organization-wide data science efforts and assets. Data Science Roadmapping (DSR) customizes the widely used Technology Roadmapping to facilitate such planning in organizations, aligning ma...

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Bibliographic Details
Main Authors: Kayabay, Kerem, Gokalp, Mert Onuralp, Gokalp, Ebru, Alagoz, Serhat Murat, Eren, P. Erhan, Kocyigit, Altan
Format: Conference Proceeding
Language:English
Subjects:
big data
Companies
Data science
data strategy
Faces
high-performance computing
Oils
Production
Strategic planning
Technology management
technology roadmapping
Online Access:Request full text
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Summary:Many organizations still face challenges leveraging data science in production and need strategic planning for organization-wide data science efforts and assets. Data Science Roadmapping (DSR) customizes the widely used Technology Roadmapping to facilitate such planning in organizations, aligning market, business, data, technology, and organization perspectives. This paper employs the action research method to customize and apply DSR in an oil and gas company. The approach mostly met the expectations regarding objectives and outcomes, the first step toward generalizability. The case study provides researchers and practitioners insights into roadmapping customization, remote and agile roadmap development process, and strategic planning for technology adoption in a large organization. Lastly, we identify the future research directions using the recent roadmapping literature.
ISSN:2159-5119
DOI:10.1109/ICTMOD55867.2022.10082858