Leveraging predictive analytics in project risk management: A case study of us government agencies

Salifu, Arome (2025) Leveraging predictive analytics in project risk management: A case study of us government agencies. International Journal of Science and Research Archive, 15 (3). pp. 307-311. ISSN 2582-8185

Efficient project risk management is essential in the successful completion of any projects by addressing the identification, evaluation, and mitigation of risks to minimize potential negative impacts on project deliverables. The emergence of predictive analytics represents a transformative shift towards data-driven decision-making and operational efficiency. This study delves into Leveraging Predictive Analytics in Project Risk Management: A Case Study of US Government Agencies. The study highlighted predictive data analytics, integrating predictive analytics, process of predictive data analytics, Impacts on US Government Agencies and application of Predictive Analytics on different US industries sectors. Conclusively, the use of predictive analytics in United States government agencies has been of significant help in management and mitigating risks. However, there is a need to add additional features to the existing models to improve their performance in the task across U.S government agencies.