Industry: Telecommunications
At a glance: MyntiQ Tech built a cloud-native analytics platform on AWS for a managed connectivity and communications provider. A StarRocks OLAP data warehouse unifies data from eight transactional systems covering SD-WAN, Voice, SIP and UCaaS. Analytics are served through a secure API, so reporting no longer slows production databases.
Overview
This case study outlines how MyntiQ Tech designed and implemented a cloud-native analytics platform on AWS for a managed connectivity and communications service provider. By unifying data from multiple operational systems into a centralized analytics layer, the organization gained fast, reliable business insights without impacting the performance of its core transactional databases.
Business Problem
The telecommunications provider faced critical data challenges:
- Operations spanned multiple managed services (including SD-WAN, Voice, SIP, and UCaaS) which were supported by eight independent transactional systems.
- Data was siloed across these systems, making cross-product performance and customer lifetime value reporting slow and manual.
- Analytical queries were run directly on live production databases, impacting system performance and risking downtime.
- The existing reporting infrastructure could not scale to support increasing data volumes or concurrent analytical queries.
How MyntiQ Tech Helped
MyntiQ Tech developed a high-performance analytics solution:
- Cloud-Native Architecture: Designed a secure analytics framework on AWS optimized for scale, speed, and reliability.
- Centralized Data Warehouse: Built a unified OLAP data warehouse using StarRocks to consolidate data from all eight operational systems into a unified model.
- Data Orchestration: Implemented cloud-native pipelines with automated data reconciliation checks to ensure consistency across sources.
- Decoupled Presentation Layer: Exposed analytics via a secure API, allowing operations, finance, and leadership teams to pull data into custom dashboards.
Business Outcomes Delivered
- Delivered query performance that was significantly faster for complex, cross-product business analytics.
- Eliminated analytical search loads on transactional systems, improving core database stability.
- Created a single, consolidated view of customer accounts, service usages, and recurring revenue.
- Supported data-driven decision-making across leadership, finance, and support departments.
Frequently Asked Questions
Why shouldn’t analytics run on production databases?
Analytical queries on live transactional databases slow them down and risk downtime. A separate OLAP warehouse takes that load off the core systems.
What is StarRocks used for in telecom analytics?
In this project, StarRocks is the OLAP data warehouse that consolidates data from eight operational systems into one model for fast cross-product analytics.
How do teams get dashboards from the analytics platform?
Analytics are exposed through a secure API, so operations, finance and leadership teams can pull data into their own dashboards.
Need a unified analytics platform? Talk to MyntiQ Tech or browse more case studies.