Modernizing Waterfall with Real-Time Analytics: How Big Data Transforms Traditional Project Phases

Abstract

The paper provides an insight into integrating real-time analytics and big data technologies into more traditional waterfall project management methodology. It covers how the modern data analytics can facilitate a seamless flow within the structured and managed approach given by the waterfall model. We have reviewed existing literature, case studies, and empirical data spanning from 2015 to 2019 that explains how infusion of real-time analytics can shrink project failure rates by 32% and improve stakeholder satisfaction by 45%. The research is proposing an altogether new framework for executing the big data analytics inside of waterfall phases and crossing barriers both technical as well as organizational constraints.