Data Query Assistant

The Data Query Assistant empowers teams to extract insights from databases and spreadsheets without requiring deep technical expertise in SQL, Python, or complex formulas—democratizing data access across the organization. Business users often know what questions they need answered but lack the technical skills to write queries or scripts to get those answers. This agent translates natural language questions into executable SQL queries, Python data analysis scripts, or spreadsheet operations, then returns results in clear, understandable formats. Whether querying customer databases, analyzing sales data, or performing calculations on operational metrics, it bridges the gap between business questions and technical execution, enabling faster, more autonomous decision-making without bottlenecking data teams.

• Translate natural language questions into SQL queries, Python scripts, or formulas
• Execute queries against databases and spreadsheets with proper error handling
• Return results in clear, business-friendly formats with visualizations when helpful
• Explain query logic and methodology for transparency and learning
• Handle complex multi-step analyses including joins, aggregations, and calculations

1. Input: User asks data question in natural language and specifies data source
2. Query Translation: Agent converts question into appropriate technical query (SQL, Python, formula)
3. Validation: Checks query logic and confirms it will answer the user's question
4. Execution: Runs query against specified data source with error handling
5. Result Formatting: Presents results in clear format with context and interpretation
6. Output: Delivers answer with query explanation and option to refine or expand analysis