Critical analysis of Big Data challenges and analytical methods
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In this article, the authors present a state-of-the-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.About:
This article is published in Journal of Business Research.The article was published on 2017-01-01 and is currently open access. It has received 1267 citations till now. The article focuses on the topics: Analytics & Big data.read more
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The transformative impact of big data applications in sport marketing: current and future directions
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Does Knowledge Sharing Belief of Data Analysts Impact Their Behavior?
TL;DR: In this article , the authors utilize contingency and task-technology fit theories to understand the factors that influence the impact of data analysts' knowledge sharing beliefs on their behaviors and find that knowledge sharing belief is formed by subjective norm and perception of control.
Book ChapterDOI
Emergency Information Visualisation
TL;DR: The focus of this chapter is on providing essential comprehension about visualising emergency information and presents visualisation design objectives and summarises various visualising techniques for content-based, geospatial, and temporal information along with specifics of dashboards.
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Big Data Skills Required for Successful Application Implementation in the Banking Sector
TL;DR: In this paper, the authors identify what are factors that effect on Big Data Analytics skills and further propose a long-term development, self-efficacy and level of analytics as framework for a successful career in Big Data analytics in banking sector.
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Big Data for Context-Aware Computing
TL;DR: A distributed storage based on HBase, which is column-oriented database modeled after Google’s Bigtable, is proposed, based of classifying RDF instance by class, and creating tables to store the instance data of each class in the ontology.
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