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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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Journal ArticleDOI

A Unified Performance Analysis of Relaying Communication System for IoT Application With Hybrid Fading

TL;DR: A relay system model of wireless and power line hybrid media is taken as a representative and a unified performance analysis method for AF relay systems with hybrid fading is investigated, finding a joint optimization algorithm for determining the key parameters.
Proceedings ArticleDOI

Creating Intelligent Business Systems by Utilising Big Data and Semantics

TL;DR: This paper lays down the issues which should be addressed and reviews the work which has been done in the area of integrating structured and unstructured data sources, with a special focus on the financial domain.
Journal ArticleDOI

Evaluating the critical success factors of data intelligence implementation in the public sector using analytical hierarchy process

TL;DR: The results showed that technology, as a category, is the most important among all critical success factors presented in the study, and the implications for practitioners and researchers are discussed.
Journal ArticleDOI

Data Analytics Research-Informed Teaching in a Digital Technologies Curriculum

TL;DR: In the business environment, the goal of data analytics can be characterized as improving decision making and its links to big data and other data-driven technologies.
Journal ArticleDOI

Heritage Conservation Future: Where We Stand, Challenges Ahead, and a Paradigm Shift

TL;DR: From this perspective, it is conceptualized how emerging artificial intelligence (AI) and digital socio‐technological models of production based on democratic Peer‐2‐Peer (P2P) interactions can represent an alternative transformative solution that can truly revolutionize the conservation decision‐making process and improve global conservation standards.
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