LendingMetrics releases major new functionality to their intelligent decisioning platform ADP

In the first of two major announcements surrounding the intelligent decision platform ADP, LendingMetrics are delighted to confirm the latest upgrade to seamlessly incorporate Python, R, SAS, PMML and JavaScript risk models, making the Best Credit Risk Solution even better.

Auto Decision Platform (ADP) has built an enviable reputation as a powerful enterprise decisioning platform and is used across the whole range of credit verticals, including banking, mortgages, commercial lending, consumer credit and car finance. It has done so largely as a result of its cutting-edge engine compilation capabilities which enable the most comprehensive and sophisticated decisioning requirements to be generated using “no code”. Credit risk professionals are therefore able to create and manipulate decisioning logic on demand and in real-time to address credit risk, KYC, fraud and affordability requirements.

^{The ADP landscape is both intricate and intelligent, with countless possibilities once deployed. Watch our video above to find out how it works!}

Recognising that many lenders may have invested heavily over time to build and perfect powerful and predictive risk models in other native languages, LendingMetrics has developed the Universal Risk Model Adaptor to ADP. This builds on the already comprehensive platform capabilities to allow the native inclusion of multiple external languages within the decisioning process.

Commenting on the news, LendingMetrics' Head of Sales Claire Januszczak said: “over the past 5 years we have had fantastic feedback from our clients and the industry. This has translated into our impressive commercial success, however, we are always listening to the emerging needs of our clients and now that we have completed this enormous project to deliver these additional integrations, I know that they will be delighted to have this added functionality at their fingertips”

Credit risk teams familiar with the capabilities of languages such as Python (V2 and V3) SAS, “R”, PMML and JavaScript will be pleased to learn that all of these are supported by this new feature and, due to its “native inclusion”, the risk models can comprehensively interact with ADP's full range of features, thus making the job of the credit risk team to manage one platform much simpler.

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