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Critical analysis of Big Data challenges and analytical methods

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TLDR
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.
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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.

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A review of machine learning for big data analytics: bibliometric approach

TL;DR: The overwhelming productivity and wide-spread applications in several multidisciplinary domains have been revealed, with one-to-two ratio of journal to conference publications.
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Multidimensional Data-Driven Artificial Intelligence Innovation

TL;DR: The transition to digital business requires enterprises to make a leap toward a new view of data and analytics, and they need to find a role for digital innovation.
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A big-data analytics method for capturing visitor activities and flows: the case of an island country

TL;DR: A study outlining a new analytical method, to explore people’s activities, behavioural, and movement details for people monitoring and planning purposes, which utilises online geotagged content uploaded by users from various locations.
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Big data analytics and hotel guest experience: a critical analysis of the literature

TL;DR: In this paper , the authors reviewed and synthesized the literature to shed light on trends and extant patterns in the application of big data in hospitality, particularly in research focusing on hotel guest experience and satisfaction.
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