Data Analytics Supporting Knowledge Acquisition

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Author(s): Soraya Sedkaoui (Khemis Miliana University, Algeria & Montpellier University, France & SRY Consulting Montpellier, France)
Copyright: 2019
Pages: 20
Source title: Crowdsourcing and Knowledge Management in Contemporary Business Environments
Source Author(s)/Editor(s): Regina Lenart-Gansiniec (Jagiellonian University, Poland)
DOI: 10.4018/978-1-5225-4200-1.ch008

Keywords: Business and Organizational Research / Business Science Reference / Knowledge Management / Library & Information Science

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Abstract

This chapter aims to make the case that analytics methods must respond to the significant changes that big data challenges are bringing to operationalizing the production of information and knowledge. More specifically it discusses the analytics dimension of big data challenges and its contribution for value creation. It shows that data analytics tools and methods offer strong support in knowledge acquisition and discovery. This suggests that the effectiveness of an analytics method must be measured based on how it promotes and enhances knowledge, how it improves patterns and understanding of the decision makers, and thereby how it improves their decision making and hence organization performance. This chapter explores the synergies between big data analytics and knowledge discovery by identifying challenges and opportunities in data analytics applications for knowledge acquisition.

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