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Open AccessJournal ArticleDOI

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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Proceedings ArticleDOI

Identifying Critical Issues in Smart City Big Data Project Implementation

TL;DR: A list of challenges, that a project manager can consider as an initial list of risks for the upcoming project, and evaluate the city's readiness against each of them is offered to identify challenges, which can cause big data projects to fail.
Proceedings Article

The Moderating Role of Democratization Culture: Improving Agility through the Use of Big Data Analytics

TL;DR: This research examines the moderating effect of democratization culture on the relationship between BDA use and agility and introduces ‘democratization culture’ which values sharing of knowledge and acceptance of diversity.
Journal ArticleDOI

Analytical Techniques for Decision Making on Information Security for Big Data Breaches

TL;DR: This research has introduced the multi-priority model influenced with the network calculus and access control which monitors the breaches during the big data processing and provides a graph which shows the monitoring improvement for decision making during the mitigation of big data breaches.
Book ChapterDOI

Big Data Analytics and Preprocessing

TL;DR: In this article, the authors discuss the importance of preprocessing big data data in terms of analysis time, utilized resources percentage, storage, efficiency of analyzed data and the output gained information.
Journal ArticleDOI

Big data strategy

TL;DR: A computer laboratory for big data has been created at the Autonomous University of Coahuila, Mexico to support medium-sized manufacturing companies in their data analysis strategy for decision making of big data technology.
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Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review

TL;DR: In this article, the authors evaluate the process of systematic review used in the medical sciences to produce a reliable knowledge stock and enhanced practice by developing context-sensitive research and highlight the challenges in developing an appropriate methodology.
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TL;DR: This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A, and introduces and characterized the six articles that comprise this special issue in terms of the proposed BI &A research framework.
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TL;DR: The need to develop appropriate and efficient analytical methods to leverage massive volumes of heterogeneous data in unstructured text, audio, and video formats is highlighted and the need to devise new tools for predictive analytics for structured big data is reinforced.
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