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Modernising Data Integration for Domino’s with Azure Data Factory
Transforming outdated systems into a scalable, reliable, and efficient cloud-based solution.
The Opportunity
A global pizza chain needed to replace outdated, inconsistent data integration systems with a scalable, cloud-based solution – eliminating technical debt and establishing a future-ready platform for data management.
The Delivery
Agile Insights implemented a comprehensive data integration solution using Azure Data Factory and Snowflake, including cloud-native pipeline migration, Power BI monitoring, a custom testing framework, and CI/CD implementation.
The Outcome
Eliminated legacy infrastructure costs, delivered a flexible cloud-native platform, improved data reliability and security through rigorous validation, and empowered internal teams with the knowledge to manage and optimise the new environment.
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About the Client
Renowned for innovation and efficient delivery systems, the client has consistently stayed ahead in a competitive restaurant industry by leveraging technology to drive operational excellence and meet evolving customer demands.
The Challenge

The client faced several challenges with their existing data integration setup:

  • Legacy Infrastructure: Outdated systems were costly to maintain, lacked scalability, and posed security risks.
  • Misaligned Pipelines: Existing data pipelines were unable to support evolving business needs or integrate new data sources effectively.
  • Manual Processes: Inefficient workflows hindered reliability and consistency.
  • Infeasibility of Lift-and-Shift Migration: A complete architectural overhaul was required to implement a sustainable solution.
Client Testimonial
"Agile Insights' expertise in Azure Data Factory has transformed our data processes, improving reliability and operational efficiency. Their collaborative approach made the transition seamless and impactful."
Global Pizza Chain

Our Solution

Agile Insights implemented a comprehensive data integration solution centred on Azure Data Factory. Key components included:

Cloud-Native Transition
Migrated from legacy systems to Azure Data Factory for scalable, cloud-based data integration.
Pipeline Monitoring
Integrated Power BI for real-time visibility into data pipeline performance.
Custom Testing Framework
Ensured data accuracy and integrity during migration with a bespoke testing framework.
CI/CD Implementation
Established continuous integration and deployment processes to streamline development and deployment of data pipelines.
Why It Worked

Our solution to resolve the challenge was executed over a period of three months. To deliver a best-of-breed solution, we kept to a meticulous project timeline.

The project was executed in structured phases:

  • Discovery & Assessment: Evaluated the existing data infrastructure to identify priorities for migration.
  • Architecture Design: Developed a detailed architecture plan optimised for cloud-native solutions.
  • Pipeline Build and Configuration: Rebuilt critical data pipelines within Azure Data Factory, aligned with business needs.
  • Testing and Validation: Used a custom testing framework to ensure data integrity and optimal performance.
  • Knowledge Transfer: Provided training and documentation to empower internal teams for system management and enhancement.

The Impact

  • Cost Optimisation: Eliminated legacy infrastructure, reducing operational costs.
  • Enhanced Scalability: Delivered a flexible, cloud-native platform to meet evolving business requirements.
  • Data Integrity: Improved reliability and security through rigorous testing and validation.
  • Operational Efficiency: Streamlined processes reduced manual effort and improved system reliability.
  • Team Empowerment: Equipped internal teams with the knowledge and tools to manage and optimise the new environment.

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