Building use Cases With Activity Reference Framework for Big Data Analytics

Abstract

Application of Big Data analytics to exploit for insight and assist in decision making have seen phenomenal growth among organizations in recent years. Although many organizations have invested heavily in Big Data technologies, there still seems to be a lack of common reference framework for organizations to derive business values and answer critical business questions from Big Data Analytics (BDA). In this paper, a vendor-neutral and technology-agnostic Big Data Analytics Activity Reference Framework is presented to close the gap. The framework describes the high level Big Data Analytics activities and serves as a reference to practitioners to decide on the selection of the infrastructure, platform and computing layers. This reference framework is aimed at serving as a launching pad for researchers and implementers to customize their respective Big Data Analytics projects before implementing with the relevant technology and tools.