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Data integration and cleansing for better IFRS 9 models
Banking
Challenge
Poor data quality, inconsistent formats, and a lack of equivalence between systems made it difficult to use.
Solution
We implement quality testing, integrate, and process data in Azure to meet IFRS 9 requirements for credit risk models.
Impact
- Allows for the development of proprietary models, reducing capital requirements.
- Improves relations with the regulator by providing accurate answers based on internal data.
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