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Exploring the Organizational Models for Data Science in Agile Software Development: Challenges and Strategies from a Multi-Case Study

Abstract

In an increasingly fast-paced and dynamic world with exponentially more data, more roles are required in agile software development. At the same time, the development team needs to maintain speed and autonomy. The challenges surrounding the organization of cross-functional teams are thus exacerbated. Through a multi-case study with interviews from five organizations, we show how agile companies use different models of organizing data scientists. We find that there are specific challenges related to each of these organizational models and that some challenges are shared among all the organizational models. Challenges include difficulty coordinating development strategies and a lack of resources. In addition, we identify strategies used to overcome the challenges, including coordinating mechanisms for platform teams, communities of practice for data scientists, and the development of shared playbooks.
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Category

Academic chapter

Language

English

Affiliation

  • SINTEF Digital / Software Engineering, Safety and Security
  • University of Oslo
  • Norwegian University of Science and Technology

Year

2024

Publisher

The Hawaii International Conference on System Sciences (HICSS)

Book

Proceedings of the 57th Hawaii International Conference on System Sciences

ISBN

9780998133171

Page(s)

7249 - 7258

View this publication at Norwegian Research Information Repository