{"id":87746,"date":"2025-03-27T13:03:22","date_gmt":"2025-03-27T11:03:22","guid":{"rendered":"https:\/\/intellias.com\/?p=87746"},"modified":"2025-03-27T13:03:22","modified_gmt":"2025-03-27T11:03:22","slug":"consulting-a-lending-business-on-platform-modernization-and-data-strategy-improvement","status":"publish","type":"post","link":"https:\/\/intellias.com\/consulting-lending-business-platform-modernization-and-data-strategy\/","title":{"rendered":"Consulting a Lending Business on Platform Modernization and Data Strategy Improvement"},"content":{"rendered":"

Project snapshot<\/h2>\n

In close collaboration with our client, we developed a transformation approach that enhances system maintainability and scalability, as well as facilitates legacy code management. Based on deep analysis and research, we provided recommendations for enhancing their development platform and implementing a data governance framework.<\/p>\n

We consulted our client on various data contract strategies to streamline the transition from a monolithic to a service-oriented architecture. Our efforts focused on enhancing development efficiency and data consistency through implementing data contracts.<\/p>\n

Our client, a European financial services company, is a national leader on the lending and loan management market. Committed to making loans accessible and comfortable for customers, the organization leverages advanced data technologies to provide top-notch services.<\/p>\n

Business challenge<\/h2>\n

The lending company reached out to Intellias, seeking consultation on a comprehensive business modernization. Over the years, their legacy software based on monolithic architecture started showing inefficiencies and called for a complete overhaul to meet the required service standards. The company recognized the need to redesign the existing architecture into a modular structure, aiming for higher performance and better maintainability. At the same time, the software reorganization had to ensure business continuity and uninterrupted financial services to customers.<\/p>\n

Before contacting Intellias, the company sought modernization advice from other service providers, but didn\u2019t achieve the desired results. Having analyzed Intellias\u2019s track record and expertise, the client entrusted us with designing a comprehensive modernization roadmap.<\/p>\n

Focusing on improving their data management strategy<\/a>, the company engaged Intellias to conduct research and design a data contracts solution, seeking to optimize the transition of their credit scoring application to a service-oriented architecture. This software, essential for providing credit scoring services to multiple financial organizations, required a shift from its legacy monolithic structure to improve scalability and maintainability.<\/p>\n

During the discovery phase, we identified a lack of effective data governance elements. The client saw the benefits of using data contracts for introducing data exchange standards and sought expert research and consultation on different implementation approaches.<\/p>\n

\"Abstract<\/p>\n

Solution<\/h2>\n

We began with an all-encompassing assessment of the client\u2019s legacy systems, including a deep business analysis of all processes and technological discovery. Focused on identifying key problem areas and prioritizing an understanding of the underlying processes, we applied the principles of the domain-driven design methodology to create solutions tailored to specific business needs.<\/p>\n

To identify business process boundaries, our experts held event storming workshops with the client\u2019s stakeholders and suggested a new approach to the development platform. To support our client in adopting platform transformation, we provided knowledge sharing sessions on infrastructure management, modern DevOps practices, and distributed testing.<\/p>\n

For a deeper understanding of data issues and their root causes, our engineers created a custom tool that visualizes all data relations and dependencies. This tool allows the client to verify their data infrastructure, pinpoint specific issues and data dependencies, and identify the modules that require attention. The entire project follows the principles of domain-driven design, taking into account the specifics of the lending and loan management industry and being driven by the core business processes.<\/p>\n

To address our client\u2019s data management<\/a> concerns, our data architects and data governance experts designed a custom, lean data governance framework based on the client\u2019s specific requirements. We also adjusted data management standards and rules to align seamlessly with the client\u2019s processes.<\/p>\n

To help our client\u2019s stakeholders choose the optimal approach to data contracts, we provided an in-depth feasibility analysis of different data contract formats and recommendations for their implementation. Our data governance<\/a> consultants conducted knowledge sharing sessions on Kafka data flow management, contract-driven development practices, and CI\/CD, which were integral in supporting the client’s transition.<\/p>\n

Our team designed and implemented a data contract model, focusing on:<\/p>\n