Case Study
Transforming legacy: A modern analytical platform for a leading insurer
12 August, 2025

The business challenge
The large insurer faced significant challenges due to their expensive, un-integrated, and outdated legacy systems. These systems were not only costly to maintain but also lacked the ability to communicate effectively with each other, leading to inefficiencies and data silos. The insurer struggled to gain a comprehensive view of their operations, as data was scattered across multiple platforms and systems. This fragmentation hindered their ability to perform advanced analytics, make informed decisions, and respond swiftly to market changes.
The solution
Altron assisted the large insurer in migrating their legacy systems from SAS and Oracle to Databricks on AWS. This migration involved transferring vast amounts of data and complex analytical processes from the outdated SAS and Oracle systems to the modern, scalable Databricks platform hosted on AWS. By leveraging Databricks' unified analytics capabilities, the insurance company was able to streamline their data processing workflows, enhance data integration, and improve overall performance.
The migration to AWS provided the company with a flexible and cost-effective infrastructure, enabling them to scale their operations as needed. This transition not only modernised their data architecture but also empowered the company to perform advanced analytics, gain deeper insights, and make more informed business decisions.

The business outcomes
By implementing the solution, the insurer was able to decommission their outdated platforms, which had been costly to maintain and operate. This transition led to significant licensing cost savings, as the company no longer needed to support multiple legacy systems.
Additionally, the modernisation of their data estate provided a robust foundation for future scalability and innovation. With a unified and efficient data infrastructure, the company could now integrate new technologies and adapt to evolving business needs more seamlessly. This modern data estate also enabled advanced analytics and improved data-driven decision-making, ultimately enhancing the company's agility and competitive edge in the market.