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Analysis of Big Data in Micro, Small and Medium Enterprises: Business Intelligence

Author :
  • I Ketut Yadnyana
  • Nyoman Trisna Herawati
Abstract
Business intelligence (BI) has emerged to represent the significance and effect of data-related issues to be achieved in emerging business enterprises as a significant field of study for both practitioners and researchers. While a lot of competition in business intelligence, observational evidence indicates that the development of BI is still evolving behind Micro, small and medium-sized (MSMEs) companies. As such, no literature studies have been found to study BI research in MSMEs. Papers related to BI in MSMEs are collected, categorized, synthesized, and analyzed in this paper. There is now a majority among legislative, development economists, and international development stakeholders in all economies, particularly in the developing and emerging markets, that micro, small and medium-sized enterprises are a significant tool of their industrial growth and indeed of overall economic growth. The theory of Big Data has increasingly been used as a modern approach in all manner of application environments and fields to aid in strategy and implementation. The influence of the proliferation of data gathered and processed over several years by numerous public and private entities has contributed to many revolutionary solutions for data analytics. Thus, the objective of this research is on MSME growth, which is how to use Big Data to support regional small business growth. This paper will examine the specialization to which Big Data could be exploited for MSME growth and will establish a system-driven intervention approach based on the implementation of Big Data for MSME growth.
Keywords : Business Intelligence, Big Data, Micro, Small and Medium Enterprises, Data Analytics
Volume 1 | Issue 4
DOI :