Abstract:
Nowadays, companies are facing a lot of challenges due to the volume and velocity of data available online, the nature of this data which comes in different formats structured, semi-structured or unstructured, forces the adoption of new tools and techniques to process and transform data to knowledge, competitive intelligence systems aims at setting-up tools and software to handle this stream of data from data collection, data analysis, data visualization to the results dissemination for stakeholders to enhance the decision making process of companies. In this paper, we present a big data analytics layer/framework for competitive intelligence systems and we implement it in the case of XEW 2.0 system relying on Apache Spark capabilities and big data analytics technologies, we validate the proposed framework with a case study about Research in Morocco in order to achieve a technological surveillance, the framework shows promising results in providing analysts with a toolbox to extract strategic information.
Page(s):
149-169
DOI:
DOI not available
Published:
Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 1, Year: 2022
Keywords:
Data Mining
,
Apache Spark
,
Big Data
,
Big Data Analytics
,
Competitive Intelligence