Observational Learning Boosts Data Quality, Improves Reconciliations, Cuts Costs of Exceptions

Large data volumes and manual data validation techniques are making it difficult for firms to achieve levels of data quality required to support seamless transaction processing and regulatory reporting. The problem is exacerbated by MiFID II and other emerging regulations that impose new processes on transaction reporting, including reconciliation of transactions from the trade repository...

Read More