mazdek
Data & Analytics Business Intelligence

Natural Language BI

Ask questions in natural language and get instant answers from your data. The AI Agent translates your questions into SQL and visualizes the results.

85% faster insights
Text-to-SQL Data Visualization Self-Service BI Natural Language Processing

85%

Faster Insights

10x

More Users with BI Access

60%

Fewer Ad-hoc Requests

< 3s

Response Time

About This Solution

How Does Natural Language BI Work?

Natural Language BI democratizes access to enterprise data. Instead of complex BI tools or SQL knowledge, any employee can simply ask questions like "What was our revenue last month compared to last year?"

The AI Agent understands your company's context, knows your data structures, and translates natural language into precise database queries. The result is automatically visualized in the optimal format — as a table, chart, or dashboard.

The system continuously learns from user questions and improves its understanding of industry-specific terms and company jargon. Common questions are recognized and automatically suggested as predefined reports.

Features

What This Agent Can Do

Natural Language Processing

Understands complex questions in German, English, and French with context awareness.

Automatic Visualization

Intelligently selects the best presentation format: tables, charts, KPIs, or combined dashboards.

Secure Data Access Control

Role-based permissions ensure everyone only sees the data they are authorized to see.

Conversational Context

Understands follow-up questions in context: "And how does that look by region?" works.

Examples

How It Works in Practice

1

Sales Meeting

"A sales director asks: "Show me our top 10 customers by revenue this quarter who were not in the top 10 last year." The agent understands the complex query and delivers the analysis in seconds."

Meeting preparation drops from 2 hours to 5 minutes.

2

Financial Analysis

"The CFO asks: "How has our margin developed over the last 12 months, broken down by product category?" A line chart with all relevant details appears instantly."

Finance team can focus on analysis rather than data collection.

3

Operations Review

"The logistics manager asks: "Which suppliers had more than 5% delays last month?" A table with suppliers, delay rates, and trends appears automatically."

Proactive supplier management becomes possible without IT support.

FAQ

Frequently Asked Questions

Which data sources are supported?
We support all common SQL databases (PostgreSQL, MySQL, SQL Server, Oracle), data warehouses (Snowflake, BigQuery, Redshift), and can also connect to BI tools like Tableau or Power BI.
How accurate are the generated SQL queries?
Our models achieve over 95% accuracy for standard queries. For complex analyses, we offer a preview of the SQL query that can be reviewed by data engineers.
Can sensitive data be protected?
Yes, the system integrates with your existing permission system. Users can only ask questions about data they have access to. Additionally, certain fields can be masked or aggregated.
How long does implementation take?
A basic implementation with one data source is possible in 2-3 weeks. Full integration with all data sources and permissions typically takes 6-8 weeks.

Interested in This Solution?

Let's discuss how Natural Language BI can transform your data culture.