Case Study: a UK financial services provider achieves faster, more scalable credit risk analytics with EXL

Enable credit risk analytics D&A in the cloud with AWS migration

EXL helped a UK financial services provider modernize its credit risk analytics function as the client looked to cut costs, support growth, improve performance, strengthen security, and create a single source of truth. The client was struggling with legacy platforms, slow query performance, frequent load errors, redundant data marts, inconsistent data from past acquisitions, and a lack of shared metrics and automation.

EXL implemented an AWS-based cloud data platform with Collibra for metadata management and KPI definitions, along with data tokenization for PCI compliance, governed access controls, a data lake, and a modeled data mart. Using tools such as Dremio, Jupyter, Python, Airflow, and Tableau, EXL improved data extraction, processing, and reporting performance by up to five times, reduced spending through a pay-as-you-use model, and delivered self-service dashboards and better user experience.