Integrating CRISP-DM and eXtreme Programming in Agile Data Science Projects

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This study explores the integration of eXtreme Programming (XP) and the Cross-Industry Standard Process for Data Mining (CRISP-DM) in agile Data Science projects. We conducted a case study at the e-commerce company Elo7 to answer the research question: How can the agility of the XP method be integrated with CRISP-DM in Data Science projects? Data was collected through interviews and questionnaires with a Data Science team consisting of data scientists, ML engineers, and data product managers. The results show that 86% of the team frequently or always applies CRISP-DM, while 71% adopt XP practices in their projects. Furthermore, the study demonstrates that it is possible to combine CRISP-DM with XP in Data Science projects, providing a structured and collaborative approach. Finally, the study generated improvement recommendations for the company.
Original languageUndefined/Unknown
Pages (from-to)1-7
JournalEuropean Journal of Electrical Engineering and Computer Science
Volume9
Issue number4
DOIs
Publication statusPublished - 31 Jul 2025

Keywords

  • Agile
  • CRISP-DM
  • Data Science
  • Extreme Programming

Cite this