The Intertwined Role of Big Data with Business Intelligence and Real Time Analysis: A Finance Sector Perspective

This study explores the connections between big data, business intelligence, and real-time analysis. This relationship and the parameters and variables of the characteristics and relations have only been explored in a small number of studies. A questionnaire with lickert scale, yes/no questions, and comments about the characteristics and relationships of big data with real-time analysis and business intelligence is used as the research technique in this study. It is first described in the literature review. Then, NVIVO 12 and SPSS for Windows are used for the quantitative and qualitative analyses, respectively. The investigation's findings provide clear, succinct models that show how big data interacts with business intelligence and real-time analysis. It also offers a thematic analysis that results in the defining of the traits and connections. For big data management and potentially the banking sector, there are several theoretical and managerial implications. The purpose of the future research is to expand on new connections with big data utilizing the new conceptual framework, scale the questionnaire to a survey base, and change the origins of the questions to a comprehensive lickert scale.