Case study

Real-Time Telco Analytics: A Business Intelligence Solution for Faster Data-Driven Decisions

Asian Market


 

 

 

  • Team size: 5
  • Development time: 2 months


 

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Background

Telecommunications companies generate enormous volumes of operational data every day, ranging from subscriber activity and network usage to application performance and customer engagement metrics. In 2025, IBM noted that real-time data supports fast decision-making, while Microsoft highlighted telecom as a leading adopter of AI for automation and data-driven decisions. Converting data into actionable insights requires a robust business intelligence solution capable of processing, visualizing, and presenting information in real time.

A leading telecommunications group in Vietnam approached GEM to develop a centralized business intelligence solution that could transform raw Big Data outputs into meaningful analytics dashboards. The client needed a platform that could visualize key operational metrics, including SIM activity, application usage, user growth, churn rate, and real-time traffic data, enabling stakeholders to monitor performance and make informed decisions more effectively.

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Challenges

Complex Big Data visualization requirements

  • Raw analytical outputs were not suitable for direct visualization.
  • Significant data processing and transformation were required before information could be displayed on charts, dashboards, and maps.

Inefficient existing database architecture

  • The client initially requested GEM to design a database structure capable of ingesting and managing large-scale data.
  • The original database approach proved ineffective and could not support the expected performance requirements.
  • GEM had to redesign and rebuild the database architecture to improve scalability and processing speed.

Strict security and compliance requirements

  • Development was conducted within a controlled VDI environment with limited connectivity.
  • Security policies and ISMS requirements demanded rigorous code scanning and compliance checks before every release.
  • Failure to comply with security validation procedures could result in operational risks and penalties.

Cross-department collaboration constraints

Working within the client’s secured infrastructure increased coordination effort and extended communication cycles with internal departments.

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Solution

To address these challenges, GEM designed and implemented a scalable business intelligence solution focused on real-time analytics, data visualization, and reporting. Key implementation initiatives included:

  • Rebuilding the existing database architecture to support large-scale data ingestion and faster processing performance
  • Developing a centralized web-based analytics platform for monitoring telco operational metrics
  • Creating a dashboard framework that enables users to navigate from high-level overviews to detailed reports
  • Implementing real-time and periodic reporting capabilities
  • Building a flexible chart configuration module that allows users to define: chart types, X-axis and Y-axis data fields, visualization parameters
  • Processing and transforming Big Data outputs into visualization-ready datasets
  • Implementing secure authentication and login mechanisms
  • Ensuring compliance with strict security scanning and release management requirements throughout the development lifecycle

Tech stack

  • ReactJS
  • Spring Boot
  • Elasticsearch
  • Kafka

Output

We created a dynamic and high-performing mobile BI system that enhances or unlocks many management capabilities across different functions of the telco group.

  • Seamless management of partner information and partnership agreements, and the cooperation among the company’s departments
  • Collaborative cross-checking and management of financial information, as well as management of the financial data between the company and its partners
  • Tasks allocation and financial and business activities monitoring
  • Automatic calculation of KPIs between the partners and the company, and warnings in case of significant deviations
  • Reporting customers’ complaints related to the services provided by partners on behalf of the telecom group
  • Safe and easy management of all kinds of official documents through the document management module, including:
  • Processing cooperation documents and electronic contracts between partners and the company
  • Archiving and subsequent accessing archived documents

Impact

The business intelligence solution enabled the client to transform complex operational data into accessible business insights. Key business outcomes included:

  • Improved visibility into critical telco performance metrics
  • Faster access to operational and customer-related insights
  • Enhanced decision-making through real-time analytics and reporting
  • More effective monitoring of subscriber growth, application adoption, and traffic trends
  • Increased efficiency in analyzing large volumes of data through centralized dashboards
  • Improved scalability and performance through a redesigned database architecture
  • Stronger governance and compliance alignment through secure development and release processes

Closing remarks

This project demonstrates how a well-designed business intelligence solution can bridge the gap between complex Big Data processing and practical business decision-making. By redesigning the data architecture and delivering a scalable analytics platform, GEM enabled the client to gain real-time visibility into key operational metrics and build a stronger foundation for data-driven growth.

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