Modernising Data Infrastructure at Scale Through Cloud Migration

Client
New Zealand media organisation
industry
Media
One of New Zealand’s largest media organisations needed to modernise its data infrastructure to keep pace with the growth of its digital platforms and expanding data ecosystem. The on-premise environment had reached its limits — slowing delivery, constraining analytics capability, and making it increasingly difficult to manage the large volumes and diversity of data generated daily across content, advertising, and audience platforms. The organisation engaged Luma Analytics to lead both the data strategy and the technical migration to a modern cloud-based environment.

Solution

Luma Analytics developed a comprehensive data strategy and designed a future-ready Azure data platform to support the organisation’s long-term analytics vision. Our engineering team architected and deployed a scalable cloud solution using Azure Databricks, Azure Data Factory, and a modern data lake architecture to manage terabytes of data across multiple business domains. The platform introduced automated data pipelines, improved governance and monitoring, and established a secure, high-performance foundation for advanced analytics and AI.

Outcomes

The organisation now operates a powerful, stable, and scalable cloud platform capable of handling complex data workloads, including analytics previously impossible under the legacy system. The migration has improved performance, reliability, and accessibility, enabling faster innovation and stronger alignment between business and technology. Luma continues to partner with the organisation to evolve its platform and strategy as new digital opportunities emerge.

Featured Results

  • Migration from on-premise to Azure cloud data platform
  • Automated data pipelines improving scalability and efficiency
  • Terabytes of data consolidated across multiple business domains
  • Enhanced governance, security, and analytics capability
  • Ongoing partnership enabling continuous innovation
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