On the Appropriate Methodologies for Data Science Projects

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

Data science is an emerging discipline with a particular research focus on improving the available techniques for data analysis. While the number of data science projects is growing, unfortunately, there is a slight consideration of how a team performs a data science project. Although the existence of a repeatable well-defined process could deal with many challenges of data science projects, researches conducted in recent years indicate a convergence of the results to agile methodologies as the appropriate ones for the projects. In this paper, first, the tasks and roles of individuals in data science projects are addressed; then, some research conducted for the methodologies used in the projects are studied. The study shows that agile methodologies could resolve many issues of data science projects by increasing the communications and cooperation of the team members and investors.

Original languageEnglish
Title of host publication2021 International Conference on Information Technology, ICIT 2021 - Proceedings
EditorsKhalid Mohammad Jaber
Number of pages7
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date14.07.2021
Pages667-673
Article number9491712
ISBN (print)978-1-6654-2871-2
ISBN (electronic)978-1-6654-2870-5
DOIs
Publication statusPublished - 14.07.2021
EventInternational Conference on Information Technology - ICIT 2021 - Amman, Jordan
Duration: 14.07.202115.07.2021
Conference number: 10
http://icit.zuj.edu.jo/icit2021/Index.html

    Research areas

  • agile software methodologies, big data, business intelligence, data science
  • Engineering