Natural-language business intelligence for Telecom
Natural-language business intelligence for telecom. Operators handle millions of subscriber interactions across Azerbaijani and Russian, under service-quality SLAs.
Business Intelligence That Speaks Your Operators' Language
Telecom operators managing millions of subscriber interactions across Azerbaijani- and Russian-speaking markets face a persistent bottleneck: the gap between raw operational data and the decisions that need to be made right now. Call records, churn signals, and SLA breach events accumulate continuously inside your databases, yet extracting actionable insight has traditionally required a queue of SQL-literate analysts and a tolerance for lag that fast-moving operations teams simply cannot afford. Allmaz natural-language BI closes that gap by letting your analysts, team leads, and operations managers ask plain questions in Azerbaijani, Russian, or English and receive live answers drawn directly from your own databases — no SQL expertise required at the point of inquiry, and no subscriber data leaving your infrastructure at any stage.
Why Telecom Teams Choose Allmaz BI
Ask churn, SLA, and contact-center questions in Azerbaijani, Russian, or English — whichever language each team member uses day to day — removing language as a barrier to operational insight across mixed-language workforces.
Get answers from live subscriber data rather than stale exports, so SLA breaches, contact-volume spikes, and retention risks surface in real time and can be acted on before they escalate.
Every answer displays the exact SQL statement that was executed to produce it, giving compliance officers, auditors, and data engineers a complete, independently verifiable audit trail for every insight.
Read-only, SELECT-only database access by design means analysts can explore data as freely as they need to without any possibility of accidental inserts, updates, deletes, or schema changes.
Self-hosted deployment on your own Docker infrastructure keeps sensitive subscriber records, billing data, and query logs entirely inside your security perimeter, satisfying data-residency requirements without compromise.
Live dashboards built directly over your existing databases eliminate manual export cycles and reduce the reporting backlog on already-stretched BI teams, freeing specialists for higher-value analytical work.
Built for the Realities of Telecom Operations
Trilingual Natural-Language Queries
Analysts and managers can type questions in Azerbaijani, Russian, or English. The system interprets the query, translates intent into SQL, and returns results — removing language as a barrier to insight across mixed-language operations teams.
Plain-Language to SQL, Instantly
Ask 'Which subscriber segments had the highest churn rate last month?' or 'How many contacts exceeded our SLA threshold this week?' and receive a structured answer drawn directly from your subscriber and operations databases.
Live Dashboards Over Your Own Data
Build and share dashboards that refresh against your live databases. Contact-center volume trends, SLA compliance rates, and retention metrics stay current without manual exports or scheduled batch jobs.
Full SQL Transparency
Every answer is accompanied by the exact SQL statement that produced it. Operations managers and compliance officers can verify, audit, or hand off any query — building trust in the numbers that drive decisions.
Least-Privilege, Read-Only Access
Allmaz connects through a dedicated role with SELECT-only permissions. No writes, no deletes, no schema changes — subscriber records and billing data are protected even as teams explore freely.
Self-Hosted on Any Docker Host
Deploy on your own infrastructure in minutes. Subscriber data, query logs, and dashboards never leave your environment, satisfying data-residency requirements and internal security policies without compromise.
From Question to Insight in Four Steps
Frequently Asked Questions
Can the system handle questions written in Azerbaijani script?
Yes. Allmaz supports Azerbaijani, Russian, and English natively. Team members can write questions in whichever language they are most comfortable with, and the system will interpret the intent and return a structured answer accordingly — no transliteration or workarounds required.
How does read-only access protect our subscriber data?
Allmaz connects to your database through a role that is granted only SELECT permissions. It cannot insert, update, delete, or alter any data or schema objects. This least-privilege design means that even unrestricted exploration by analysts carries zero risk of accidental or unauthorized data modification.
We have strict data-residency requirements. Does Allmaz send data to external servers?
No. Allmaz is entirely self-hosted and runs within your own infrastructure on a standard Docker host. Subscriber data, query results, and dashboard configurations remain inside your environment at all times — nothing is transmitted to external servers at any point in the workflow.
Our contact-center data is spread across several databases. Can Allmaz connect to multiple sources?
Allmaz is designed to connect to your own databases. For questions about multi-source configurations specific to your stack and deployment environment, our team can walk you through the available options in detail during the onboarding process.
How do we verify that the answers the system gives are accurate?
Every answer includes the exact SQL statement that was executed to produce it. Analysts or data engineers can review, copy, and independently run that query against the same database at any time. This built-in transparency provides a clear, reproducible audit trail for every insight the system surfaces.
Ready to Ask Your Data a Question?
See how Allmaz natural-language BI works against your own telecom data. Contact our team to arrange a guided demonstration in your preferred language — Azerbaijani, Russian, or English.
Request a demo