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Insurance & Risk Management

Helping a Global Insurance Firm Unlock Legacy Data and
Prepare for Scalable Growth

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Summary:

Our client is a global insurance and risk management organization, employing thousands of people across multiple regions As part of an aggressive growth
strategy, they have expanded rapidly through mergers and acquisitions. With each acquisition came more data and much of this data sat in legacy systems, including a central SQL Server based repository.

Over time, this created a complex landscape of loosely structured and poorly connected data. Whilst valuable, the data was difficult to navigate, interpret and scale effectively. The organization recognized the need to modernize and explore a more flexible, scalable platform using MongoDB Atlas. But, before making any decisions they needed clarity on what that transition would involve. We were approached to provide consultancy support, helping them understand how their data could be migrated, what challenges they could face and how to approach the journey.

Tech Stack:

  • Cloud: Microsoft Azure Sql Server MongoDB Atlas
  • Desktop application: MongoDB’s Relational Migrator

A global insurance firm engaged gravity9 to help make sense of a complex legacy data estate built up through rapid growth and acquisition. With large volumes of loosely structured data held in a central SQL Server repository, unclear relationships between datasets, and strict legal constraints limiting access to full schemas and records, the client needed clarity on how a migration to MongoDB Atlas could work in practice and what risks, timelines, and data implications they should expect.

gravity9 delivered a consultancy led engagement focused on turning uncertainty into a practical migration path. By modelling sample data in MongoDB, recreating familiar data views, documenting assumptions clearly, and providing hands on guidance and knowledge transfer, gravity9 gave the client a clear migration strategy, working examples, and the confidence to scale the transition independently.

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