Yes / Big Data (BD), with their potential to ascertain valued insights for enhanced decision-making process, have recently
attracted substantial interest from both academics and practitioners. Big Data Analytics (BDA) is increasingly
becoming a trending practice that many organizations are adopting with the purpose of constructing
valuable information from BD. The analytics process, including the deployment and use of BDA tools, is seen by
organizations as a tool to improve operational efficiency though it has strategic potential, drive new revenue
streams and gain competitive advantages over business rivals. However, there are different types of analytic applications
to consider. Therefore, prior to hasty use and buying costly BD tools, there is a need for organizations to
first understand the BDA landscape.Given the significant nature of the BDand BDA, this paper presents a state-ofthe-
art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/
employed by organizations to help others understand this landscape with the objective of making robust investment
decisions. In doing so, systematically analysing and synthesizing the extant research published on BD and
BDA area. More specifically, the authors seek to answer the following two principal questions: Q1 –What are the
different types of BD challenges theorized/proposed/confronted by organizations? and Q2 – What are the different
types of BDA methods theorized/proposed/employed to overcome BD challenges?. This systematic literature review
(SLR) is carried out through observing and understanding the past trends and extant patterns/themes in the
BDA research area, evaluating contributions, summarizing knowledge, thereby identifying limitations, implications
and potential further research avenues to support the academic community in exploring research
themes/patterns. Thus, to trace the implementation of BD strategies, a profiling method is employed to analyze
articles (published in English-speaking peer-reviewed journals between 1996 and 2015) extracted from the
Scopus database. The analysis presented in this paper has identified relevant BD research studies that have
contributed both conceptually and empirically to the expansion and accrual of intellectual wealth to the BDA
in technology and organizational resource management discipline.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/11325 |
| Date | 08 October 2016 |
| Creators | Sivarajah, Uthayasankar, Kamal, M.M., Irani, Zahir, Weerakkody, Vishanth J.P. |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Article, Published version |
| Rights | © 2017 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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