The Future of Business Intelligence

Abstract

Analysts that can conduct customer-driven business intelligence (BI) analyses naturally have social media voices (VoC) that they may use as proof of quality. Researchers in the field of business intelligence (BI) have not yet addressed the dearth of studies addressing these extraordinary data sources and content types (e.g., social media, intellectual property). That was the intended goal of this study, which systematically reviewed the leading business intelligence research papers and evaluated the value of social network data for BI studies. Data quality, processing capacity, updating capabilities, and framework are the main areas of comparison between social network data and other available data sources (such as grey literature and public service data), as determined after careful consultation with experts. The phrase "business intelligence" (BI) is used in the field of business management to describe software and hardware solutions that help businesses collect, store, retrieve, and analyze information and data related to their daily operations. In order to make complex decisions, businesses use a process known as business intelligence, which involves using a mathematical model to extract, transform, manage, and analyze large amounts of data. Fundamental to business intelligence are databases, data mining, and technologies that aid in decision-making. The purpose of this study is to provide a comprehensive analysis of popular Business Intelligence tools.