The Challenge
The client, a mortgage lender in the US struggled with unstructured mortgage data scattered across multiple, disparate systems, leading to inefficient and inaccurate business insights. Managing high-volume data was challenging, as it was stored on-premises, making it both costly and time-consuming to scale operations up or down. The lack of a clear technical and data strategy, coupled with ad-hoc and unstructured jobs, further hindered their ability to derive valuable insights and optimize data management. As a result, the business faced increased operational costs, delayed decision-making, and missed growth opportunities. Resolving these issues was crucial to improving data accessibility, accuracy, and scalability, enabling more informed decision-making and supporting future business growth.