Introduction For decades, accessing business data has required technical skills. If you wanted to know how many customers signed up last month, which products generated the most revenue, or why sales dropped in a particular region, you typically needed to write SQL queries, build dashboards, or ask a data analyst for help. This creates a major bottleneck in organizations. Business teams have questions, but the answers are locked inside databases and often require technical expertise to retrieve. Today, Artificial Intelligence is changing that. Imagine being able to ask: "How many new customers signed up this month?" "Which marketing channel generated the highest revenue?" "Show me sales trends for the last 12 months." "What were our top-performing products last quarter?" And getting instant answers directly from your database without writing a single line of SQL. This is what Natural Language Database Querying makes possible. What Is Natural Language Database Querying?…