Natural language business intelligence (BI) is revolutionizing how individuals access and interact with data, allowing users to query databases using everyday language without needing to learn SQL or complex systems. This approach utilizes natural language processing (NLP) to interpret human language and convert it into machine-executable commands, enabling users to receive insights and answers in mere seconds. It offers significant advantages over traditional BI workflows, particularly for ad hoc investigations and real-time decision-making, by eliminating the need for pre-built dashboards or data team intervention. For data teams, natural language BI reduces repetitive inquiries, allowing them to focus on building the infrastructure for accurate data interpretation. By incorporating semantic layers, these systems enhance accuracy and consistency, providing a single source of truth for data queries. The future of data interaction is expected to increasingly incorporate generative AI and conversational interfaces, with platforms like Hex offering tools that blend conversational analytics with deeper analytical capabilities. As organizations adopt these technologies, data governance and change management become critical to ensuring trusted and effective use of natural language BI.