TY - GEN
T1 - Customizing and Deploying Data Science Roadmapping
T2 - 2022 IEEE International Conference on Technology Management, Operations and Decisions, ICTMOD 2022
AU - Kayabay, Kerem
AU - Gokalp, Mert Onuralp
AU - Gokalp, Ebru
AU - Alagoz, Serhat Murat
AU - Eren, P. Erhan
AU - Kocyigit, Altan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - big data
KW - data science
KW - data strategy
KW - high-performance computing
KW - technology roadmapping
UR - https://www.scopus.com/pages/publications/85152129611
U2 - 10.1109/ICTMOD55867.2022.10082858
DO - 10.1109/ICTMOD55867.2022.10082858
M3 - Conference contribution
AN - SCOPUS:85152129611
T3 - 2022 IEEE International Conference on Technology Management, Operations and Decisions, ICTMOD 2022
BT - 2022 IEEE International Conference on Technology Management, Operations and Decisions, ICTMOD 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 November 2022 through 25 November 2022
ER -