For years, regulatory reporting on an aggregate level via static reports has been the norm for financial institutions. However recent times have shown that regulators are moving to the next level in terms of their appetite for more detailed and granular data. One of the most demonstrable examples of this is the Analytical Credit Dataset (AnaCredit) project which introduces a step-change in the amount of data that is required to be reported on such a frequent basis – daily in some cases.
All affected firms will be expected to have up-to-date expertise around data requirements and local discretions, as well as processes in place to monitor further stages that could affect both their single and multi-country operations in the future. Firms also need powerful reporting and data lineage tools in place which are essential to quickly pinpoint the biggest blockers to straight through processing, enabling firms to prioritize effort and allocate resources.
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Our integrated, scalable OneSumX AnaCredit solution uses grid and in-memory computing to handle the large data volumes required by the extensive regulation. This enables faster processing time and a more flexible operational environment for end users. In-memory processing preserves data lineage at each functional stage enabling more transparent reporting and full confidence in the reporting process leading to lower risk of mis-reporting.
Our solution is based on our tried and tested central data model and is designed to work together with our regulation, risk and accounting offerings. As such it already has industry leading security, control and audit features included as standard.