Natural-language BI vs pre-built dashboards
Natural-language BI vs pre-built dashboards: a balanced comparison for Azerbaijani business, grounded in how Hermes works.
Natural-Language BI vs. Pre-built Dashboards
Pre-built dashboards provide a structured, predictable method for monitoring key performance indicators (KPIs). In this traditional model, data analysts design specific views in advance, and stakeholders consume these reports on a fixed schedule. While this approach ensures consistency, it often creates a bottleneck where business users must wait for analysts to build new charts whenever a new question arises or a market shift requires a different data perspective. Natural-language BI transforms this workflow by allowing users to type questions in plain language, which the system then translates into live database queries in real-time. This shift from static reporting to dynamic exploration empowers teams to get immediate answers without technical intermediaries. For Azerbaijani businesses, Hermes by Allmaz combines this flexibility with critical requirements for data sovereignty and multilingual support, ensuring that insights are accessible in Azerbaijani, Russian, and English while keeping all data securely within local infrastructure.
Advantages of Natural-Language BI for Local Teams
Eliminate language barriers with native support for Azerbaijani, Russian, and English, allowing teams to query data in their preferred language.
Access real-time insights from live data streams, removing the delay associated with traditional dashboard refresh cycles.
Ensure complete auditability with full SQL transparency, as every answer displays the exact query used to generate the result.
Maintain maximum security via a read-only, least-privilege database role that prevents any accidental data modification or writes.
Guarantee data residency and sovereignty by self-hosting the solution on any Docker host within your own private infrastructure.
Reduce operational overhead by eliminating the need to manually build and maintain a library of pre-defined views and charts.
Core Capabilities of Hermes
Plain-Language to SQL
Users type a question in everyday language and Hermes converts it into a precise SQL query against your own databases — no query-writing skills required.
Live Dashboard Generation
Rather than static snapshots, Hermes builds dashboards directly over your live databases, so every figure reflects the current state of your data.
Trilingual Interface
Hermes understands and responds in Azerbaijani, Russian, and English, removing language barriers for mixed-language teams common across Azerbaijani enterprises.
Full SQL Transparency
For every answer, Hermes displays the exact SQL it executed. Teams can review, copy, or audit the logic behind any result without opening a separate tool.
Read-Only by Design
Hermes connects through a least-privilege role that can only SELECT. Your production data is never at risk of modification through the BI layer.
Self-Hosted Deployment
Hermes drops onto any Docker host, meaning your data never leaves your servers. This satisfies internal security policies and local data-residency requirements.
From Question to Insight
Frequently Asked Questions
Can Hermes modify or delete data in my database?
No. Hermes is read-only by design. It connects through a least-privilege role restricted to SELECT operations, ensuring your production data cannot be altered or deleted through the tool.
Does my business data leave my internal servers?
No. Because Hermes is self-hosted and runs on a Docker host under your control, your data remains entirely within your own infrastructure at all times.
How does Hermes handle teams that speak multiple languages?
Hermes is fully trilingual, supporting Azerbaijani, Russian, and English. This allows team members to interact with the data in whichever language they are most comfortable using.
How can I verify that the generated answers are accurate?
Hermes provides full transparency by showing the exact SQL query it executed for every response. Your technical team can review this logic directly to verify the accuracy of the result.
When should I use pre-built dashboards instead of natural-language BI?
Pre-built dashboards are ideal for stable, well-defined KPIs that require a consistent layout for a large audience. Natural-language BI is superior when questions change frequently, when users need custom data cuts, or when manual dashboard creation becomes a bottleneck.
Evaluate Hermes for Your Data Environment
Talk to the Allmaz team about connecting Hermes to your databases. We will walk you through a practical demonstration using your own data structure, with no obligation.
Request a demo