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Using Structured Data to Mitigate Risk

Posted on October 7, 2016 by Dave Nitchman

Risk management diagram draw on blackboard using chalk
XBRL is being used by banking, insurance, pension and ancillary financial regulators around the world to collect high quality risk data. At Data Amplified, we’ll explore how filers, solution providers and regulators are dealing with the challenges that come with collecting a high volume of complex, sensitive data.
  • Paul Hulst, Data Specialist and XBRL Team Lead with the Dutch Central Bank, will talk about how that organisation is implementing XBRL for the collection of data on Over-the-Counter (OTC) derivatives traded by the largest Dutch banks. This is a great opportunity to gain an inside look into how a central bank or other regulator can use XBRL and other technologies to collect, store, analyse and distribute data.
  • The filer and solution provider’s perspective will be shared by Tom Leahy, XBRL Specialist with Vizor Software, which is working with numerous insurance companies and banks to meet CRD IV and Solvency II mandates in the EU. This talk will focus primarily on the pitfalls to avoid, including the absence of test data (due to privacy laws), dealing with granular data from Data Point Models with tens of thousands of data points, data quality, and bridging the gap between the technical and business points of view.
  • Senior Expert in the Technology Division of the Bank of EnglandBeju Shah will describe the way that this leading regulator successfully navigated its way through the complex multi-dimensional Solvency II insurance data regime. Shah will share the Bank of England experiences, successes and lessons learnt.
If you are wondering how to deal with granular data, high frequency data, ad-hoc requests, and data quality, then consult the experts who will be at Data Amplified. Learn more and register today.
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