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Finding the right RegTech partner
Explore key factors to consider when choosing a RegTech partner for regulatory reporting.
The surge in intricate global regulations, alongside the escalating expenses of regulatory reporting has prompted the need for a more advanced technological strategy to tackle regulatory challenges.
Financial institutions must embrace RegTech to lay a proper foundation for streamlined, nondisruptive and illuminating regulatory reporting workflows.
There’s no silver bullet when it comes to RegTech transformation – if anything, it’s a matter of having the right perspective and regulatory expertise.
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The Data Point Model (DPM) 2.1 is creating a unified supervisory data ecosystem in the EU by establishing a machine-readable and legally traceable metadata environment. This evolution is designed to improve data consistency, enhance traceability, and unlock powerful AI use cases for automated impact analysis and regulatory change management. The consultation is open till 30 September 2026.
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Financial supervisory authorities are increasingly leveraging cloud-native infrastructure, granular data, and AI-enhanced oversight to transition toward a more data-driven, and forward-looking approach to supervision.
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As regulatory pressures grow, risk, finance, and reporting must evolve from fragmented data silos to an intelligent, integrated value chain. Our new whitepaper with Chartis outlines the path to building a more efficient & resilient regulatory operating model.
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