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Efficient Prediction of Big Data Analytics Using Various Approaches


Afsaruddin, Dr. Devendra Agarwal and Dr. Sandeep Kumar Nayak
Abstract

Business intelligence (BI) and analysis has risen as a significant zone to create new applications by decision makers in this manner evaluating the effect of information related issues in business enterprises. Business knowledge advances, for example, information warehousing, online explanatory preparing, data mining, XML information handling, and information semantics have developed and become standard in producing important controls and giving choice help. Nonetheless, customary procedures, models, and strategies must be reclassified to furnish leaders with administration of information examination through the huge information. The arrangement of the correct information with fitting quality as per the requirements of chiefs or robotized forms is significant for effective activities of organizations. Joining enormous information with AI is an integral asset for BI. This research paper introduces the concept of BI along with big data analytics using machine learning algorithms, which has been explained as the prominent information usage, analyzing data quantitatively and statistically, exploration and prediction frameworks with comparative study, and management that is solely dependent on factual information so as to make decisions and take actions. Finally, we use the workflow to bring forth the chances for improvement of BI and allow the comparative study abilities to develop.

Volume 12 | 07-Special Issue

Pages: 1817-1827

DOI: 10.5373/JARDCS/V12SP7/20202294