{"id":82696,"date":"2024-11-14T08:18:58","date_gmt":"2024-11-14T07:18:58","guid":{"rendered":"https:\/\/intellias.com\/?p=82696"},"modified":"2025-01-08T09:47:56","modified_gmt":"2025-01-08T07:47:56","slug":"setting-the-standards-data-governance-platform-to-streamline-financial-institution-operations","status":"publish","type":"post","link":"https:\/\/intellias.com\/setting-the-standards-data-governance-platform-to-streamline-financial-institution-operations\/","title":{"rendered":"Setting the Standards: Data Governance Platform to Streamline Financial Institution Operations"},"content":{"rendered":"

Project snapshot<\/h2>\n

Our team designed a transformation of a data infrastructure for a financial institution<\/a>, introducing effective data governance practices and accelerating data management flows. This project initiative helped validate our client\u2019s vision of enhancing data management through a leading data governance platform<\/a>. The purpose was to create a scalable and governed data ecosystem to streamline data management, reduce onboarding times for data sources, and improve overall efficiency.<\/p>\n

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Our client is a major US bank with a global presence. In the course of its history, the bank has evolved into a complex network with dozens of branches and lots of digital services. Operating large volumes of various data, our client places significant emphasis on the efficiency, productivity, and security of data management.<\/p>\n <\/div> \n <\/div>\n

Business challenge<\/h2>\n

While revamping\u00a0data management flows, the bank needed assistance in designing a more efficient infrastructure and selecting technologies that could help it achieve higher performance and implement effective data governance<\/a> principles.<\/p>\n

The existing infrastructure showed limitations in integrating new data sources, managing data assets, and automating governance processes effectively. Onboarding of new data sources was too time-consuming and affected the quality of services. In addition, the legacy infrastructure generated rather high operating costs, while displaying high latency and inconsistent performance.<\/p>\n

Solution delivered<\/h2>\n

Our team of data engineers, data architects, and DevOps<\/a> engineers designed a new data processing flow capable of streamlining and accelerating data source onboarding and optimizing operating costs. The platform design included a data governance solution to introduce data management policies and standards and ensure visibility and transparency of data processes. Key elements of the solution included:<\/p>\n