Critical analysis of Big Data challenges and analytical methods
Reads0
Chats0
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.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
Citations
More filters
Journal ArticleDOI
Advanced big-data/machine-learning techniques for optimization and performance enhancement of the heat pipe technology – A review and prospective study
Zhangyuan Wang,Xudong Zhao,Zhonghe Han,Liang Luo,Jinwei Xiang,Senglin Zheng,Guangming Liu,Min Yu,Yu Cui,Samson Shittu,Menglong Hu +10 more
TL;DR: A critical review of the HP technologies is presented, indicating that a database covering the HP parametrical data, operational variables and associated performance results has not yet been established and could provide the dimensionless and multiple-factors-considering solution for HP structural optimization and performance prediction.
Journal ArticleDOI
Exploring big data-driven innovation in the manufacturing sector: evidence from UK firms.
TL;DR: In this paper, the authors present a seven-step process to understand data-driven innovation in the context of the UK manufacturing sector, and discuss the significance of critical seven steps in DDI, ranging from conceptualisation to commercialisation of innovative data products.
Proceedings ArticleDOI
Data Thinking: A Canvas for Data-Driven Ideation Workshops
TL;DR: The suggested datainformed ontology and the proposed canvas facilitate the development of data-driven products and services and helps teams sharpen their perspective on data challenges from the start and presents a more holistic view on data projects.
Proceedings ArticleDOI
Design of intelligent k-means based on spark for big data clustering
TL;DR: This paper designs intelligent k-means based on Spark for big data clustering using batch of data instead of original Resilient Distributed Dataset (RDD) and shows that implementation usingbatch of data is faster than the implementation using original RDD.
Journal ArticleDOI
Freedom under the gaze of Big Brother: Preparing the grounds for a liberal defence of privacy in the era of Big Data
TL;DR: In this paper, the authors examine how Big Data is an omniscient and ubiquitous presence in our society and examine to what degree Big Data threatens liberty in both the negative and positive conception of the term.
References
More filters
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.
Journal ArticleDOI
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
danah boyd,Kate Crawford +1 more
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.
Journal ArticleDOI
Beyond the hype
Amir H. Gandomi,Murtaza Haider +1 more
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.