Big Data and Cloud Computing in IT Project Management: A Framework for Enhancing Performance and Decision-Making

Abstract

The study presents a strategic model that combines big data analytics features alongside cloud computing abilities for improving IT project success rates. IT project management underwent profound changes because of big data and cloud computing to deliver superior decision processes, amplified efficiency, and increased scalability features. The management of intricate IT projects needs advanced technological solutions because they increase operational efficiency and enhance both project management decisions and their execution speed. Research scholars developed integrated framework elements of big data with cloud computing systems for IT project management to optimize resources while reducing project risks so it improves decision quality. Project managers utilize these technologies to analyze massive dataset fields quickly enhancing both risk evaluation abilities and resource allocation and project performance metrics. This research examines both published research about Big Data along with qualitative assessments of information technology projects where Cloud Computing and Big Data succeed. The research examines different IT projects implementing Big Data and Cloud Computing to determine their effects on project outcomes as well as cost efficiency alongside project decision protocols. Project management technology evaluation requires assessing important performance indicators known as KPIs. The proposed framework enables project managers to obtain analytic data for optimizing processes and strengthening their strategic decision capabilities. Research should develop methods for how artificial intelligence and machine learning technology automate decision processes when managing IT projects. IT project management benefits considerably from big data technology implementation  cloud management because it reduces operational costs and enhances decision quality and project execution speed.