Scoring Flyer

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    Gain a clear vision with scoringAdvanced scoring and analytical services

    Data is at the heart of advancedcredit risk management. Ourdeveloped expertise in turning datainto information enablesorganisations to predict how clientswill behave in the future.

    Scoring models

    Experian MicroAnalytics builds generic and customscoring models in markets all over the world.

    Generic scoring models are built from data derived fromknowledge of the credit industry tempered by the local

    market conditions. Generic scores can be quicker toimplement and do not require an archive of historicaldata for development, which makes them very useful instart-up situation, or when data is not available.

    Custom scoring models are build using historical datasupplied by the client and are tuned to the clientscustomer profile. They are designed in consultation withthe organisation to meet specific business objectives,such as credit risk, attrition, and propensity.

    A new approach to model development

    Many organisations lack the data, resources orknowledge to build and maintain effective models.

    Experian MicroAnalytics has developed a new approachto the delivery and monitoring of models using acombination of pooled data, analytical techniques,software and consulting support.

    Data pooling brings together data from clientorganisations in an anonymous format and, usingproprietary algorithms to align the profile of the pool tothe clients own data, it produces a robust sample ofdata for development. The resulting model is morerobust and predictive, enabling customized models to beimplemented, especially for organisations with limiteddata.

    Once scoring models are built, Experian MicroAnalyticsundertakes detailed and regular monitoring to ensurethat they continue to work optimally.

    We deliver experience and expertise gained from developing more than 300scorecards per year.

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    Combining new thinking with existing methodologies, ensures the analyticaltechniques used continue to evolve to create effective solutions

    Origination

    Application scoring in the origination process is used to predict how a potential client will behave in the future.

    With this information, decisions can be made whether to accept or decline a loan application.

    As well as credit risk, origination scoring objectives include:

    Indebtedness how will the applicants level of indebtedness affect their ability to honour this creditcommitment?

    Attrition will this applicant stop using a credit facility in the future?

    Propensity will this applicant take out more credit products in the future?

    Cross-Sell/ Up-Sell which applicants are the best candidates for offers of other products andservices?

    Customer Management

    Behavioural scoring is used throughout the life of a customer relationship to predict how an existing client willbehave in the future.

    As well as credit risk, behavioural scoring objectives include:

    Customer value how valuable is this customer to the organisation now and in the future?

    Indebtedness how will the customers level of indebtedness affect their ability to honour this creditcommitment or cope with a limit increase?

    Attrition will this customer stop using a credit facility in the future?

    Propensity will this customer take up offers of further products?

    Cross-Sell/ Up-Sell which customers are the best candidates for our offers of the other products andservices?

    Debt Management

    Collection scoring is used to prioritise collections activities to maximise recoveries and reduce collection costs.

    An understanding of the customer drives collections and debt recovery activity in terms of:

    Customer value how valuable is this customer to the organisation and what is the most appropriateaction to maintain the relationship?

    Risk and delinquency will this customer continue to be delinquent and how much is at risk?

    Potential recovery value how much could be recovered from the account and will it cover the costs ofthe collections activity?

    Basel II

    The Basel Capital Accord (Basel II) requires Banks to estimate probability of Default (PD), Loss Given Default(LGD) and Exposure at Default (EAD) for groups of exposures.

    We have helped many organisations around the world build estimates of PD, LGD and EAD and embed themin their business processes to meet the use test requirements.

    [email protected]

    The word EXPERIAN and the graphical deviceare trademarks of Experian and/or its associatedcompanies and may be registered in the EU, USAand other countries. The graphical device is aregistered Community design in the EU. All rightsreserved. Experian 2010