Big data analytics enables you to combine, integrate and analyze all of your data at once – regardless of source, size, or format – to generate the insights and metrics needed to address fraud-related challenges. For example, you can perform time series analysis, data profiling and accuracy calculations, data standardization, root cause analysis, breach detection, and fraud scoring. You can also run identity verifications, risk profiles, and data visualizations and perform master data management.
Regulatory compliance mandates continue to evolve – and most involve the aggregation, analysis, and reporting of massive diverse data sets that span business lines and are managed by many teams. Responding to the latest regulatory mandate is made easy with Datameer’s architecture, which balances the needs for rapid ad hoc self-service analytics with enterprise grade governance, access controls, and scheduling/automation capabilities.
BCBS 239: The BCBS 239 mandate is a comprehensive set of principles related to risk data aggregation and risk reporting (RDARR). In order to be compliant, financial services institutions need a big data architecture that allows for comprehensive data aggregation and analysis, complete data governance and lineage, and flexible manual and automated reporting capabilities. Learn how Datameer’s capabilities align to the key principles and are the perfect solution to fast tracking BCBS 239 compliance.