Published Paper Details:

In the framework of managing decisions and data administration, this article enquires the hyperlinks between business intelligence (BI) and big data analytics. It assesses the theoretical foundations of data management and decision theory and shows how Big Data Analytics improves data administration protocols and decision-making processes. While business intelligence is defined as the utilisation of data analysis tools to enhance business decision-making processes, big data analytics is the application of sophisticated tools, methodologies, and technology to handle and analyse enormous amounts of complex data. A detailed analysis of Big Data Analytics' role in business intelligence is conducted, with an emphasis on how it enhances data management via efficient data integration and quality control. The rest of the piece also addresses the impact of contemporary data analytics techniques on improving decision-making processes. These techniques include Predictive Analytics, Prescriptive Analytics, Real-Time Analytics, and advanced Data Visualisation strategies like Featured Engineering and Predictive Modelling. Crucial portions address the vitality of employing big data analytics to create performance indicators and accomplish strategy alignment. By doing this, businesses can make sure that their plans are relevant, data-driven, and flexible enough to change as the business environment does.