DATA POINT MODELLING (download)

Tutorial open to all the audience

Although Data Point Model is well recognized among National and European Competent Authorities, some DPM-related constructs are quite complex and often require additional guidance. Looking at the modelling process, the methodology connects the IT and business users, however in more technical aspects (e.g. definition of sophisticated validation rules) this link may seem too difficult for some users and requires additional effort to understand the bridging concepts. It is crucial to educate the market about discovered inconsistencies on this level to facilitate more efficient reporting process and also to provide NCAs and ESAs with feedback about potential issues that could lead to deactivation of assertions wrongly translated to technical syntax of imprecisely define on the business level.
The half-day workshop is aimed at providing both business and IT experts with knowledge about the DPM methodology. Significant part of the workshop will be focused on the basic DPM concepts and widely recognized DPM models (e.g. CRD4/CRR, Solvency II) and will subsequently continue with presentation of problems in modelling and validation definitions that have to be tackled by regulators. As a conclusion of this training session, a few approaches for long-term solutions will be presented and discussed.

Marek Wlodarczak Pawel Martyniuk
Marek Wlodarczak has over 6 years’ experience in financial data modeling and XBRL taxonomies development. He participated in number of projects for national supervisory authorities and other organizations interested in metadata governance and efficient financial data reporting mechanisms. He is knowledgeable in application of the Data Point Model methodology for various reporting requirements (statistical, financial, transactional). Recently, he has investigated possibilities of network analysis for the purpose of financial institutions supervision. During his career, Marek assisted in a number of trainings aimed at both IT and business experts extension of knowledge in metadata modelling and data exchange standards. As a Business Analyst Pawel Martyniuk participated in various DPM-related projects for banking, insurance and capital market supervisors. He is responsible for development and quality assurance of advanced DPM-based XBRL taxonomies. He contributed to development of a number of European (e.g. Solvency II) and local (Bank of Israel, Bank of England, Bank of Ireland) Data Point Models. He was involved in the creation of one of the first non-financial Data Point Models (Global Impact Investing Network). He is experienced in development of complex XBRL validations necessary to verify consistency of DPM-based reports (e.g. assets-by-asset reporting of Solvency II).