Abstract
The goal of this paper is to propose a set of metrics for evaluating the development of Big Data projects using Agile methods. The paper identifies a gap in the lack of integrated approaches that combine Agile practices with Big Data Analytics Systems, which are inherently data driven. Based on a survey conducted, several issues were identified, including the main factors contributing to project failure. These findings led to the development of a proposed three-layer framework with metrics for such projects.
Paper Type
Poster
DOI
10.62036/ISD.2026.23
Defining Metrics for Agile Development of Big Data Analytics Systems
The goal of this paper is to propose a set of metrics for evaluating the development of Big Data projects using Agile methods. The paper identifies a gap in the lack of integrated approaches that combine Agile practices with Big Data Analytics Systems, which are inherently data driven. Based on a survey conducted, several issues were identified, including the main factors contributing to project failure. These findings led to the development of a proposed three-layer framework with metrics for such projects.
Recommended Citation
Maślankowski, J.(2026). Defining Metrics for Agile Development of Big Data Analytics Systems. In M. Valenta, B. Mannová, R. Pergl, A. Przybylek, M. Lang, H. Linger, C. Schneider, N. Iivari, & E. Insfran (Eds.), Making ISD Sustainable: Reloaded with AI and Automation (ISD2026 Proceedings). Prague, Czech Republic: Czech Technical University in Prague. ISBN: 978-80-01-07585-2. https://doi.org/10.62036/ISD.2026.23