Explore how XBRL is being used by banking and insurance regulators around the world to collect high quality risk data. Learn how to deal with the challenges that come with collecting a high volume of complex, sensitive data and especially how to avoid potential pitfalls, with these case studies from regulators and practitioners in this field.

Building up to XBRL Collections and Beyond – The Experience of the ECB. In this talk, hear about the challenges faced by the ECB in its set up of the Single Supervisory Mechanism (SSM). The SSM is the ECB’s structured data-powered banking supervisory system. It enables the ECB to check that banks comply with the EU banking rules and to tackle potential problems early on.

How and Why the Dutch National Bank is Using XBRL. This case study by the Dutch Central Bank (DNB) will give you a detailed look into the process of implementing XBRL for the collection of data, as well as the DNB’s long term plan for collection, storing, analysing and distributing data. Learn about methods for dealing with granular data, high frequency data, ad-hoc requests, and data quality.

Central Repository of Information on Large Creditors. In India, the Reserve Bank of India and commercial banks are using structured data to recognize patterns that can expose non-performing assets before they create excessive problems with the system. This talk will explain RBI’s Central Repository of Information on Large Creditors. All banks are required to report basic information in respect of all exposures in excess of Rs 5 crores (€900,000) to a central database. This data is used to monitor financial distress in the lending system through the collection of up to date and high quality data for exchange with reporting institutions.

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