Improving data quality can reduce your regulatory capital reserve requirements.

DIG into data quality and reduce risk 

Trillium Software’s Data Intelligence and Governance (DIG) solution lets financial institutions adopt and implement a flexible and transparent approach to managing the data used in risk rating and reporting. DIG is a proven combination of operational processes and technology designed to enable GRC teams in large financial service institutions attain the critical data management controls and transparent processes that are now absolutely necessary. DIG lets business teams who understand the data and governance teams who perform data management collaborate with technology teams to specify, identify, validate and manage the veracity of data—data that is at the heart of all risk calculations. 

Trillium Software’s DIG Solution 

With the help of Trillium Software, several of the world’s largest lending institutions have instituted successful data governance processes and data quality metrics for GRC applications. DIG leverages an enterprise technology platform and engagement model that empowers the business owners of the risk rating process to become proactive participants in the validation, measurement, and management of all data fed into KPIs and risk models. It provides “foundation” processes for enterprise data governance of risk and risk modeling.

Why Choose DIG from Trillium Software?

• Demonstrated success in Forbes Global 10 Financial institutions
• Targeted specifically toward financial data and risk management, we enable transparency and provably correct processes for critical data items
• Combination of methodology, services, and software, specifically calibrated to the needs of financial service organizations
• Encapsulation of 30 years of industry expertise and experience that drives a framework and tools to ensure success in GRC data risk management
• Laser focus on the business use and management of data to achieve information quality objectives and auditing and reporting requirements

More About DIG

See also:

• The Veracity of Data 

• Know Data is Correct and Prove it!