Empowering Users: The Role Of AI In Enhancing Self-Service BI For Data-Driven Decision Making

Abstract

In today's data-driven landscape, empowering users through self-service Business Intelligence (BI) is crucial for informed decision-making. This paper explores the transformative role of Artificial Intelligence (AI) in enhancing self-service BI capabilities. We examine how AI technologies, such as natural language processing, machine learning, and predictive analytics, democratize data access, enabling non-technical users to derive insights with ease. By analyzing case studies and user experiences, we highlight the benefits of AI-driven tools in improving data literacy, accelerating analysis, and fostering a culture of data-driven decision-making within organizations. Our findings suggest that integrating AI into self-service BI not only streamlines data exploration but also enhances collaboration, leading to more effective and timely decisions. The implications of this research underscore the need for organizations to invest in AI-enhanced self-service BI solutions to fully leverage their data assets and empower users at all levels.