Big data analysis is a process used to identify meaningful patterns, trends and correlations in large datasets. It involves analyzing data from multiple sources, such as social media, sensors and web logs, to provide insights into consumer behavior, public opinion and economic trends. By leveraging big data analysis…
Big data analysis is a process used to identify meaningful patterns, trends and correlations in large datasets. It involves analyzing data from multiple sources, such as social media, sensors and web logs, to provide insights into consumer behavior, public opinion and economic trends. By leveraging big data analysis, organizations can improve decision-making, develop better strategies and gain a competitive advantage. It can also be used to identify potential problems and risks, as well as uncover new opportunities for business growth.
2 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 2 articles above have been cited 2 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
A sample of recent works citing this journal's research on Big Data Analysis, linking to each citing work.