Abstract
Although big data has become an integral part of businesses and society, there is still concern about the quality aspects of big data. Past research has focused on identifying various dimensions of big data. However, the research is scattered and there is a need to synthesize the ever involving phenomenon of big data. This research aims at providing a systematic literature review of the quality dimension of big data. Based on a review of 17 articles from academic research, we have presented a set of key quality dimensions of big data.
Highlights
Data has become an integral part of organizations
The aim of this review study is to analyze the available scientific literature focusing on the various data quality dimensions used in the assessment of data quality in big data systems
Based on the available studies, the review findings are as follows: y Some of the conventional data quality dimensions are still relevant to big data
Summary
Data has become an integral part of organizations. It is considered as an economic commodity and has raised to the extent that data is even called as the most valuable resource next to oil (Economist 2017). The volume and variety of the data generated has increased multi fold. Over 2.5 quintillion bytes of data are created every single day. Low-cost commodity hardware and open source platforms have made the processing of petabyte and exabyte of such big data much easier. From the aspects of variety and especially volume, the quantity of data available has increased manifold. The followup question here is whether big data means better data? As Taleb (2013) notes, There is plenty of information. The problem – the central issue – is that the needle comes in an increasingly larger haystack
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