Ajay Katara
Sep 18, 2020

Financial institutions stand to benefit from forward-looking strategies driven by agile and intelligent technologies.

Banks have always employed third-party vendors to build proprietary software applications and perform compartmentalized tasks in order to run more efficiently.

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Credit delinquency has been a serious problem for banks over the last decade, particularly between 2008 and 2011.

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Data governance – the process by which banks ensure that the data they manage and ultimately include in their financial statements is accurate and trustworthy – has become increasingly critical as financial services institutions face immense regulatory scrutiny to prove the trustworthiness of those financial statements.

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Following the 2008 financial crisis, the Basel Committee of Banking Supervision (BCBS) set out to “strengthen global capital and liquidity rules with the goal of promoting a more resilient banking sector,” formulating rules of which the final phase went into effect in January.

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Since the 2008 crisis, financial institutions have spent hundreds of millions of dollars on risk management.

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Effective scenario modeling is vitally important in today’s tentative economic recovery, as the level of uncertainty surrounding key business drivers is higher than ever before.

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To keep up with changing customer needs, banks are quickly adopting technologies such as mobile, social media, data analytics and the cloud.

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Banks are typically thought of as stable, reliant and dull, or that’s what we would like them to be.

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Federal bank and credit union examiners insist that a reliable system for tracking exceptions needs to be part of any loan portfolio management process.

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Over the last few years, risk management has steadily ballooned into a highly complicated process for financial institutions of all sizes.

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