Role of Big Data and Predictive Analytics
International Journal of Automation and Logistics, Vol. 2(4): 307-331 (Inderscience Publ., UK; Google Scholar, ProQuest, Inspec, Cabell’s), 2016
Posted: 11 Nov 2016 Last revised: 7 Dec 2016
Date Written: November 10, 2016
Big data has emerged as an important area of interest pertaining to the study and research of practitioners and academicians. The exponential growth of data is fuelled by the exponential growth of various internet and digital devices. Advancement in technology has made it economically feasible to store and analyse huge amounts of data. Big data is a juxtaposition of structured, semi-structured and unstructured real time data originating from a variety of sources. Predictive analytics provides the methodology in tapping intelligence from large data sets. Many visionary companies such as Google, Amazon, etc. have realised the potential of big data and analytics in gaining competitive advantage. These techniques provide several opportunities like discovering patterns or better optimisation algorithms. Managing and analysing big data also constitutes a few challenges – namely size, quality, reliability and completeness of data. This paper provides an extensive review of literature on big data and predictive analytics. It gives the reader details of the fundamental concepts in this emerging field. Finally, we conclude with the findings of our study and have outlined future research directions in this field.
Keywords: Big Data; Big Data and Analytics; Data Science; Predictive Analytics; Advanced Analytics; Social Media Analytics
Suggested Citation: Suggested Citation