Improving secured non-performing loan management by automatic data acquisition and curation
How Altilia can dramatically speed up credit recovery strategies with better accuracy
The background
Inefficiencies in manually extracting data from documents related to secured Non-Performing Loans (NPLs) generate higher operational costs for the client and, by slowing down the analysis of cases, negatively impacts the formulation of effective credit recovery strategies.
Pain points
The manual extraction of data from documents related to secured non-performing loans (NPLs) generated higher operational costs and slowed down case analysis.
The process of manually reviewing NPL cases was time-consuming, negatively impacting the effectiveness of credit recovery strategies.
The lack of advanced search features made it difficult to quickly locate and analyze key information in large volumes of unstructured data.
The decision to innovate
The customer aims to improve the capacity and speed of data extraction and reduce the costs associated with manual extraction, for a more effective definition of credit recovery strategies.
Results & Benefit
- 70~80% reduction in external vendor data processing costs
- Support Scalable Growth Without Proportional Cost Increases
- 50~60% reduction in time needed to access key information
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A leading financial services provider with over 20 years of experience, specializing in managing credit portfolios and real estate assets derived from non-performing loans. It offers a comprehensive range of services to banks and investors, including servicing of Non-Performing Loans Unlikely to Pay, Performing Loans, Master Legal, due diligence, data remediation, and Master Servicing.
