Client
Our client is the UK’s leading price comparison website, helping millions find better deals on insurance, utilities, credit cards, and more. The platform uses real-time data to deliver accurate, personalized results tailored to each user.
It processes massive amounts of information daily, which requires dependable and automated data systems. For the client, data integrity is essential to ensure every offer is timely and pertinent and can be relied on by users.
Business Challenge
The client turned to us to solve two pressing challenges:
1. Broken data pipelines prevented consistency and scalability across internal teams.
2. Manual processing bottlenecks took up to 20 hours each month, slowed operations, and increased reporting turnaround times.
3. Building a dynamic orchestration layer that helps integrate legacy systems with modern cloud-native components.
The client needed an effective, automated, and scalable solution to derive value from data without magnifying manual effort.
Solution
We created and delivered a fully automated data orchestration and reporting platform customized as per the client's requirements.
Key Steps & Methodology
Phase 1. Analysis & Design
Our team completed a comprehensive review of existing data processes. They identified inefficiencies and designed a scalable architecture using Airflow and GCP-native services.
Phase 2. Development & Testing
During this phase, our engineers:
- Implemented modular DAGs in Apache Airflow for orchestration
- Employed DBT to transform data and BigQuery for centralized analytics
- Used Terraform for Infrastructure-as-Code and GCP Registry for managing dockerized components
- Implemented strong error handling and rollback mechanisms
Phase 3. Production Release & Optimization
We successfully implemented ongoing improvements via monitoring, observability dashboards, and auto-scaling.
The Product's Key Features
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Data flow automation. Fully automated pipelines manage ingestion, transformation, and delivery.
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Enhanced accessibility. Cleaned and structured data is available in real time to downstream systems.
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Scalability. A modular, cloud-native setup makes future feature expansion easy and low-cost.
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Visibility and control. Fintech teams get greater visibility into data performance, lineage, and quality.
Results
This partnership led to the restructuring of complicated, siloed data processes into a lean and visible system. The client now makes quicker, better decisions on a scale.
Our work delivered tangible results:
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Saved 20+ hours/month of manual effort
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Improved data processing time by more than 35%
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Improved data reliability and quality, which positively impacted strategic reporting
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Facilitated quicker experimentation cycles for internal business analysts
With clarity and speed brought to their data processes, the client now owns a strong foundation for smarter and faster decision-making across the business.
