The specific challenge for regulators is to manage collection, data quality, timely processing and analysis of supervisory data. Regulators have to deal with large amounts of data of various kinds - collected from supervised entities for statistical, prudential or stability purposes, provided by information providers or obtained from internal research and analysis.
Such data would span from granular micro information on single mortgage loans, securities traded and counterparties affected to macro-economic analysis of countries or regions to form-based collections of financial and risk data or ad-hoc supervisory exercises.
Some of this data will remain only in the perimeter of the central bank some will be remitted to other stakeholders such as the European Supervisory Authorities (ESAs), country governments, the International Monetary Fund (IMF) or the Bank for International Settlements (BIS), some will be disseminated to the wider public or research community.
Therefore, it is mission-critical for regulators to
The expanding requirements have proved to be a great challenge and cost driver for IT departments of regulators. IT infrastructure and processes have to be optimized in order to collect, process, analyze and disseminate supervisory and statistical data from different sources and in various formats. Process automation and innovative solutions are required to reduce expenditures, operational burdens and time to market for new supervisory requirements.