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DESCRIPTION:Click for Latest Location Information: http://edw2017.dataversity.net/sessionPop.cfm?confid=103&proposalid=10232\nThe last financial crisis and current regulatory needs highlight the importance of knowing the total exposures to counterparties. Knowing the exposures presupposes actionable metrics on consolidated transactions and risks, which may not be readily available in reality due to the fragmented nature of counterparty data. \nThe case study will present an operational database that has multiple master tables for counterparties with different contexts from various business processes. Most of the regulatory requirements include aggregated numbers from various interactions with legal entities but implementing them is generally tedious work as the Relational data model does not fully describe relationships between siloed tables. This leads to expensive analysis of data and development of ETL logics regularly. \nThis PoC tests the hypothesis that FIBO can be an alternative data model, and a triple store can be an alternative data store to arrive at a master counterparty management solution.\nFrom this presentation, the speakers will show how they built the PoC master data store by transforming existing data set by using/extending FIBO including:  \nPain points of counterparty data management\nTransforming legacy tables into FIBO enriched triples \nUse of inference \nQuerying experience \nInsights on future MDM practices
DTSTART:20170405T104500
SUMMARY:Armed with FIBO: Countering Counterparties Problems
DTEND:20170405T122959
LOCATION: See Description
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