Guiding Improvement in Data Science: An Analysis of Maturity Models

Christian Haertel, Tom Engelmann, Abdulrahman Nahhas, Christian Daase, Klaus Turowski

2025

Abstract

Maturity models (MMs) can help organizations to evaluate and improve the value of emerging capabilities and technologies by assessing strengths and weaknesses. Since the field of Data Science (DS), with its rising importance, struggles with successful project completion because of diverse technical and managerial challenges, it could benefit from the application of MMs. Accordingly, this paper reports on a structured literature review to identify and analyze MMs in DS and related fields. In particular, 18 MMs were retrieved, and their contribution toward the individual stages of the DS lifecycle and common DS challenges was assessed. Based on the outlined gaps, the development of a meta-maturity model for DS can be pursued in the future.

Paper Citation

in Harvard Style

Haertel C., Engelmann T., Nahhas A., Daase C. and Turowski K. (2025). Guiding Improvement in Data Science: An Analysis of Maturity Models. In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS; ISBN 978-989-758-769-6, SciTePress, pages 450-460. DOI: 10.5220/0013739300004000

in Bibtex Style

@conference{kmis25,
author={Christian Haertel and Tom Engelmann and Abdulrahman Nahhas and Christian Daase and Klaus Turowski},
title={Guiding Improvement in Data Science: An Analysis of Maturity Models},
booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS},
year={2025},
pages={450-460},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013739300004000},
isbn={978-989-758-769-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS
TI - Guiding Improvement in Data Science: An Analysis of Maturity Models
SN - 978-989-758-769-6
AU - Haertel C.
AU - Engelmann T.
AU - Nahhas A.
AU - Daase C.
AU - Turowski K.
PY - 2025
SP - 450
EP - 460
DO - 10.5220/0013739300004000
PB - SciTePress