The Nottingham-based consumer finance business Oakbrook Finance offers loans using technology and machine learning to help estimate borrowers' credit risk, particularly those with a weak credit history. To manage the complex data management challenges, they built their platform on MongoDB and later upgraded to MongoDB Atlas, a fully managed database as a service platform, to automate infrastructure management, security, and scalability. Oakbrook's team was able to take advantage of MongoDB's flexibility to create sophisticated machine learning that gave precise and timely risk profiles, achieving annual average sales growth of 155% over the last three years. By automating away IT operations with Atlas, they were able to scale their business in a robust way while prioritizing customer needs. The company also adopted a microservices structure, breaking down code into distinct services, and an organisational shift to autonomous business units, enabling faster development, testing, and deployment of new features, all while maintaining security and stability.