{"id":81977,"date":"2024-10-31T14:39:53","date_gmt":"2024-10-31T13:39:53","guid":{"rendered":"https:\/\/intellias.com\/?p=81977"},"modified":"2025-07-08T12:23:57","modified_gmt":"2025-07-08T09:23:57","slug":"leveraging-data-intelligence-data-platform-redesign-for-a-financial-solutions-provider","status":"publish","type":"post","link":"https:\/\/intellias.com\/leveraging-data-intelligence-data-platform-redesign-for-a-financial-solutions-provider\/","title":{"rendered":"Leveraging Data Intelligence: Data Platform Redesign for a Financial Solutions Provider"},"content":{"rendered":"

Project snapshot<\/h2>\n

Intellias helped a client migrate their legacy data processing flows to a more efficient Microsoft Azure-based infrastructure, improving the performance of data management<\/a> components and accelerating data pipelines. By implementing the most advanced cloud database services, our team transformed the client\u2019s data environment, reducing processing times and improving the quality of data to be used in analytical algorithms.<\/p>\n

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Partnering with global leaders in the banking sector, asset managers, scholars, and academics, our client has established a reputation for providing professional technology services and solutions to financial institutions and retirement planning companies.<\/p>\n <\/div> \n <\/div>\n

Business challenge<\/h2>\n

In implementing retirement management solutions, our client manages data from multiple sources in a variety of formats. To preprocess that data and prepare it for consumption by analytical algorithms, the company used cloud-based infrastructure that could no longer ensure the level of performance required to provide excellent customer service.<\/p>\n

The client was looking for a solution allowing them to accelerate data processing, improve data quality, and enhance their system\u2019s consistency and process continuity.<\/p>\n

\"Business<\/p>\n

Solution delivered<\/h2>\n

Based on analysis of the client\u2019s legacy infrastructure, our team of cloud engineers discovered that while the client\u2019s environment was hosted in Microsoft Azure, it did not fully leverage Azure\u2019s vast capabilities. To improve performance of the company\u2019s data pipelines, we rethought the approach to data ingestion and storage, redesigning the processing flow with advanced software components:<\/p>\n