Risk & Fraud

Analysis Hub

We designed and built a central dashboard to track rolling 24-hour incidents using big data from social media channels. The platform enables actionable insights from real-time data streams, helping Barclays detect and respond to fraud faster.

Project TypeEnterprise DashboardBarclays Bank

Barclays risk analysis dashboard showing real-time fraud detection metrics

Live Data Stream

Timeline16 Weeks(80 Days)

Team Size6 People

OutcomeSuccessful Launch

Releases

v1.0v2.0v3.0

The Problem

Barclays needed to reduce the time taken to action fraud by making data-driven decisions. Their existing setup had several critical challenges:

× Difficulty obtaining insight into customer sentiments across social channels.
× Complex data that was hard to drill down into and interpret.
× High training requirements and staffing costs.

The Solution

We created an easy-to-use dashboard for incident and fraud detection with a modern, maintainable architecture.

Microservice Architecture

Complete separation of front-end and back-end for scalability.

Security First

Strict security and data protection protocols built into the design.

Independent Iteration

Front-end style guide enabled Barclays to iterate independently.

The Process

An agile approach ensured we met strict banking compliance regulations while maintaining rapid development cycles for the UI components.

User Flows & Wireframes

UI & Visual Design

Front-End Development

Back-end & APIs

Data Cleaning & Transformation

QA & Testing

Deploy & Launch

Results

The Impact

Barclays found v1.0 significantly increased the performance of their fraud detection team. They re-engaged us to develop v2.0 and v3.0 with additional features.

70%

Cost Reduction

Significant savings achieved by migrating to a flexible architecture based on open source tools. Less reliance on proprietary software meant lower licensing costs and easier maintenance.