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Success Story

Web Analytics App for Smarter Business Decisions

Platform Web
Stack ReactJS · Node.js · Apollo GraphQL
Category Analytics · Enterprise
Web Analytics

Unified Data, Real-Time Insights, and Full Control

A large digital company needed an internal analytics platform that could do more than just display numbers. The application had to collect behavioural data across websites and mobile apps, process it in real time, and present it in a way that non-technical employees could act on immediately, while staying fully compliant with GDPR and other data privacy regulations.

Everything a Data-Driven Team Needs in One Place

Multi-Source Data Collection

Gathers data from websites, mobile apps, and other digital platforms into a single unified view.

Real-Time Analytics

Processes and surfaces data instantly, enabling teams to act on the latest information without delay.

Data Visualisation

Transforms complex datasets into clear, accessible charts and dashboards anyone can read.

User Segmentation

Segments users by custom criteria for more targeted, meaningful analysis.

Custom Reports

Lets teams build tailored reports that match specific business questions and workflows.

Privacy & Compliance

Built with GDPR compliance and data security at its core, not bolted on after.

The Technical Choices That Earned the Client’s Trust

01
Seamless Cross-Platform Integration
We integrated the analytics tool across a diverse ecosystem of digital platforms — websites, mobile apps, and internal tools — ensuring consistent, reliable data collection regardless of source. A unified ingestion layer eliminated data silos and gave the team a single source of truth.
Apollo GraphQL · Cross-platform · Data ingestion
02
Real-Time Data Processing Pipeline
We engineered a real-time processing pipeline that surfaces insights the moment data arrives. This gave internal teams the ability to make swift, informed decisions based on current behaviour rather than yesterday's reports.
Node.js · Real-time processing · Performance
03
Scalable Architecture for Growing Data Volume
The application was optimised from the ground up for scalability — handling significant increases in data volume and concurrent user load without any degradation in performance, ensuring the platform could grow alongside the business.
Scalability · Node.js · Performance optimisation

Technologies Selected, Integrated and Deployed

ReactJS Node.js Apollo GraphQL

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