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Basel II Capital Accord and increased competition on the financial market are responsible for creation of repositories of aggregated, customer centric historical data used for internal credit risk model development and CRM initiatives in banks. This paper discusses the effect of data quality on development of internal rating models and customer churn models, as well as potential improvements in this regard. A comprehensive framework for data quality improvement and monitoring in financial institutions is proposed, taking into account the Basel II requirements for data quality as well as requirements of customer centric retention campaigns.

DATA QUALITY IN FINANCES AND ITS IMPACT ON CREDIT RISK MANAGEMENT AND CRM INTEGRATION