ICICI Bank : Posidex Dedupe

This application seeks to reduce the time consumed and complexity involved in checking the credit worthiness of a customer before issuing a credit card

Monday, June 01, 2009

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The credit card issuance process involves evaluating credit worthiness of the applicant based on a number of market driven parameters and standardized processes. For this, the credit decisioning system (NACS) interfaces with various systems and external agencies as part of the decision making process. Hence a need was felt to allow for a more robust, flexible and dynamic system which will be parameterized, with no vendor involvement. Integration of NACS with Posidex for positive dedupe functionality and Blaze Rule Engine (BRE) for scoring allowed for a dedupe to be much tighter and scoring to be parameterized and in user control thereby allowing for better control and TAT. Dedupe is an application matching logic used to catch the applications of the same applicant who had applied earlier for a credit card.

In this project, the dedupe and Blaze Rule Engine (BRE) databases are hosted on different servers with GUI options to allow for rapid changes in parameters to keep up with market dynamics and changes in policy decisions. In the old dedupe setup, 90% of the applications were having an average of 1-2 matches per application, while with Posidex, 85% of the applications are having about 1-10 matches per application.

This has resulted in an average dedupe percentage of 47% with Posidex as against the 21% with the older logic. The total estimated savings will be Rs 225 million PA assuming a 5% increase in approval and decline rates under the Posidex dedupe match logic and Rs 450 million PA with an assumption of 10% increase in approval and decline rates. All this has led to an almost 10 times improvement in processing speeds with minimal hardware requirements.

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