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XAI: Accuracy vs Interpretability for Credit-Related Models

Analytics Vidhya

Introduction The global financial crisis of 2007 has had a long-lasting effect on the economies of many countries. When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […].

Modeling 358
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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. Apart from generating regulatory reports, these teams require visibility into the health of the reporting systems.

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How Finance is Leveraging Automated Data Lineage for Regulations Compliance

Octopai

The worldwide economy was shaken in 2007 when the United States stock market had its largest drop since the Great Depression. While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems.

Finance 52
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BI Data Lineage Solutions: Your Trusted Guide For Success

Octopai

One example is the lineage methods that the banking industry has adopted to comply with regulations put in place following the 2007 financial collapse. It required banks to develop a data architecture that could support risk-management tools. A key piece of legislation that emerged from that crisis was BCBS-239.

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What is COBIT? A framework for alignment and governance

CIO Business Intelligence

In 2012, COBIT 5 was released and in 2013, the ISACA released an add-on to COBIT 5, which included more information for businesses regarding risk management and information governance. It’s also designed to give senior management more insight into how technology can align with organizational goals.

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Data Management Ensures Basel III and IV Compliance

Octopai

If you’re a bank, however, taking risks doesn’t just have implications for you, but for all your customers and (if you’re big enough) for the economy as a whole. . Up-to-date data management makes meeting the credit risk and market risk standards much more feasible, and is absolutely necessary for operational risk.

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Transforming FSI in ASEAN with Cloud Analytics

CIO Business Intelligence

auxmoney began as a peer-to-peer lender in 2007, with the mission of improving access to credit and promoting financial inclusion. Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission.