When it comes to data, central banks need efficiencies in two core areas: collection and analytics. This should not be an either/or proposition.
Central banks are facing a big data problem. Amid rapid innovation and steadily increasing regulation across the financial landscape, the number of firms and disclosures they must supervise is increasing rapidly and is straining limited resources.
But simply having a solution in place is not a silver bullet. Central banks need modern systems and a plan to bring it all together.
In this article, we explore how – with the appropriate platforms, partners and processes in place – supervisory technology can be utilised as a driver of transformation. We also offer a few key principles and conclude with some best practices.
Contents:
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What you need to know about streamlining communication and compliance: some practical AI solutions for financial supervision.
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Discover financial institutions’ regulatory reporting obligations and challenges, and a framework they can use to assess both the cost of compliance and of upgrading their systems to facilitate it.
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Confidence is building in tax transparency in Latin America, according to a new OECD report. The report highlights the value of AEOI for tackling tax evasion.
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