Solving NPL problems by leveraging high-quality data.
One of the missions of the commercial banking sector is to support the sustainable economic and social development of communities and territories.
However, the economic performance of commercial banks may suffer when a consistent proportion of their clients experience financial or operational distress and are therefore unable to meet their financial obligations. The European Central Bank’s definition of a suitable operating model is based on a highly granular analysis of a bank’s NPL portfolio that clearly defines borrower segments. A necessary precondition for this analysis (portfolio segmentation) is the development of appropriate solutions with sufficiently high-quality data.
Portfolio segmentation enables banks to group borrowers with similar characteristics and apply similar approaches to issues such as restructuring and liquidation. Customized processes are designed by teams that are dedicated to each segment. Alternatively, banks may sell specific NPL segments to external investors who purchase distressed debt at a discount as a key investment strategy.
UX research for realizing effective NPL portfolio sales.
The introduction of a simpler and more accurate NPL evaluation process requires both dynamic selection criteria and comprehensive portfolio metrics based on information completeness and atomic-level data.
Since 2017, Nextbit has been involved in designing solutions to address the core business problem of distressed asset management. By using DAMneat, a tool we developed for solving NPL problems, analysts can accurately rank and prioritize an entire portfolio based on both book value and information quality. Specific selections can be made to evaluate specific segments or initiate a data remediation process.
Guiding analysts during the economic evaluation of distressed assets.
Centred on a user experience specific to the NPL domain, our solution improves the user’s ability to price distressed assets by leveraging detailed visual representations of data quality, atomic-level data and segmentation indicators. This precise and intuitive exploration of selected portfolio segments provides analysts with more efficient and accurate economic evaluations of each NPL segment.
towards the future
Improve your current process
The role of Nextbit is to support and facilitate complex decisions by means of a better informed process.
The goal has been reached through the research end development of an user experience that provides tailored and out-of-the-box process-core functionalities. The entire NPL sales cycle is boosted by a faster remediation process, keeping the operational risk low and resulting in an higher NPL evaluation, a result based on the accurate pricing procedure.
Find out how Nextbit can empower your team today
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