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

2026

Open publication workspace · Sign in to read the full PDF.

AI-generated summary

This paper proposes a data-driven supervision framework to reduce the burden on national competent authorities while enhancing supervisory effectiveness.

* **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 and data reuse can significantly lower the costs and effort associated with supervision for both authorities and regulated entities.
* **Enhancement of Risk-Based Supervision and Convergence:** Explains how data-driven methods improve the accuracy and consistency of risk assessment and foster greater supervisory alignment across jurisdictions.

Tags: data-driven supervision, supervisory burden, risk-based supervision, suptech, regulatory reporting

Check the original publication for accuracy and context.