DOI: https://doi.org/10.36347/sjet.2023.v11i12.002

Pages: 327-333

This study explores the effects of the way optimal allocation of resources and the use of efficient sprint predictions as enhancement of performance in Financial Agile projects. The study is based on an explanatory research design and secondary data analysis to investigate the data-driven planning and predictive analytics help in effective planning of sprint in controlled financial settings. The results reveal that structured decision-support technology offers accuracy in forecasting with minimisation of risk to delivery. The study emphasises the need to incorporate analytics in Agile practice also it aligning sprint execution to compliance requirements. The study shows that Financial Agile teams will be able to be more predictable and sustainable in their project delivery.