DATA-DRIVEN SUPERVISION AND THE REDUCTION OF SUPERVISORY BURDEN A CONCEPTUAL AND OPERATIONAL FRAMEWORK FOR NATIONAL COMPETENT AUTHORITIES

2026

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This paper proposes a data-driven supervision framework to help national competent authorities manage expanding mandates and limited resources by leveraging regulatory reporting data for more efficient and effective oversight.

* **Conceptual and Operational Framework:** Outlines a structured approach for implementing data-driven supervision, including indicator design, triage, and governance.
* **Reduction of Supervisory Burden:** Details how automation, standardization, and improved prioritization can significantly reduce the workload for both supervisors and supervised entities.
* **Enhanced Risk-Based Supervision and Convergence:** Explains how data-driven methods enable more granular risk assessment and foster consistency across different supervisory bodies.

Data-driven supervision, regulatory reporting, supervisory burden, risk-based supervision, suptech

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