The Evolution of Business Intelligence: From Data Warehousing to AI-Driven Analytics

Abstract

Business Intelligence (BI) has changed its meaning and scope greatly in recent years, moving from data warehousing to Artificial Intelligence analytics. The evolution of BI is discussed in this paper, starting with the practices of data warehousing and ETL that defined the initial structure of the framework and paved the way to the analysis of Business structured data. Advertising analytics have evolved with increased use of big data and higher requirements for the quality of data analysis to include descriptive, predictive, and prescriptive analytics to help organizations make better decisions with improved efficiency. More recently, BI has advanced through the integration of artificial intelligence, especially in the following areas: Machine learning and natural language processing. This paper focuses on the effects of AI on organizational performance and competitive supremacy and provides understanding of future trends like BI with IoT & Edge Computing. In applying the discussion, it is important to understand that BI is continuously growing while playing a significant role as the key determinant of the future of decision-making based on data in organizations.