Descriptive analytics methods in big data: a systematic literature review

Nilupulee Liyanagamage and Mario Fernando

Chapter 18 in Handbook of Big Data Research Methods, 2023, pp 295-308 from Edward Elgar Publishing

Abstract: The era of Big Data has received much attention due to its ability to transform business operations and innovation for modern society. Despite the trends in Big Data, there are gaps in knowledge about its potential opportunities and the unique computational and statistical challenges. To thrive on the opportunities that it presents, it is important that scholars explore Big Data from a critical perspective –that is, what is Big Data? Why use Big Data? How to employ Big Data? Drawing on a systematic literature review, this chapter presents an overview of Descriptive analytic methods for Big Data. The aims of this chapter are twofold: first, to draw on prior scholarly publications to explore what is Big Data and how Big Data is analysed; second, to assess the role of descriptive analytic methods in Big Data analysis. The chapter concludes with implications for both researchers and practitioners and directions for future research using descriptive analytics.

Keywords: Business and Management; Economics and Finance; Innovations and Technology; Research Methods (search for similar items in EconPapers)
Date: 2023
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