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This builds on the already compre- hensive platform capabilities to allow the native inclusion of multiple exter- nal languages within the decisioning process. Commenting on the news, David Wylie, commercial director of LendingMet- rics, said, 'this upgrade means that for the first time we can ensure these very useful models are part of an auto- mated decisioning process, thereby making the job of credit risk teams much easier.'

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 com- prehensively interact with ADP’s full range of features, thus making the job of the credit risk team to manage one platform much simpler. LendingMetrics' Head of Sales Claire Januszczak added: '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', she concluded.

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

www.lendingmetrics.com

Metrics Monthly | 21

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