ADOPTION OF BIG DATA ANALYTICS FRAMEWORK FOR BUSINESS INTELLIGENCE AND ITS EFFECTIVENESS: AN ANALYSIS

Abstract

The paper showed the developments in big data analytics technology, applications and the effect. A certain sections were examined several significant recent developments in big data analytics, among others. Sustained growth of big data analytics was expanded with adoption of big data, software development of the Hadoop environment, with data processing models, and algorithmic accountability standards. The ability for big data analytics to be used in market forecasting is to determine future criteria based on previous research used to identify predictive techniques. Since then, big data analytics have been used in several fields some of which have covered multiple industries. The usage of big data analytics and its computer architecture helps many enterprises. The goal of this paper is to conduct a thorough analysis into strategies of big data and business analytics for better making business decisions, technical techniques, implementations and open research challenges. In addition, the research is looking to draw awareness to the tremendous advantages that big data has provided to companies in developing countries and how emerging business organizations can replicate these. In addition, the report addresses various problems facing big data analytics with an emphasis on data protection, implementation, accessibility, legislation, and enforcement. We have concluded that from our proposed framework for the sample 1(89.53%) and 3(89.49%) was more recall analysis rather than sample 2(89.44) from various samplesets. Hence we can say that the data analysis System has a major effect on market intelligence and corporate success in analytics.