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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

Systematic Literature Reviews in Social Sciences and Humanities: A Case Study

TL;DR: The results indicated that SLR is a suitable technique to apply it in the Social Sciences and Humanities although it was possible to recognize that carries more difficulties than in other areas.
Proceedings Article

Strategies and Influencing Factors for Big Data Exploration

TL;DR: This work analyzes in a multiple case study how companies start to investigate big data applications and finds two generic strategies companies tend to follow.
Book ChapterDOI

A Survey of Bayesian Statistical Approaches for Big Data

TL;DR: The question of whether focusing only on improving computational algorithms and infrastructure will be enough to face the challenges of Big Data is addressed.
Journal ArticleDOI

Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization

TL;DR: In this paper, the authors explored the Data Science Roadmapping (DSR) to guide organizations in aligning their business strategies with data-related, technological, and organizational resources.
Journal ArticleDOI

Development of Usability Enhancement Model for Unstructured Big Data Using SLR

TL;DR: In this paper, a rigorous systematic literature review using PRISMA framework has been conducted to develop a model enhancing the usability of unstructured data bridging the research gap, and the proposed model is the major outcome of the research.
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Posted Content

Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review

TL;DR: The extent to which the process of systematic review can be applied to the management field in order to produce a reliable knowledge stock and enhanced practice by developing context-sensitive research is evaluated.
Journal ArticleDOI

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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Business intelligence and analytics: from big data to big impact

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.
Journal ArticleDOI

Critical questions for big data

TL;DR: The era of Big Data has begun as discussed by the authors, where diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people.
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Beyond the hype

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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