Data Governance for Regulatory Compliance

Today, regulators require financial services firms to demonstrate controls and validate accuracy and consistency of source data or the operational requirements to effectively manage capital assets. Trillium Software offers Risk and Compliance solutions to help organizations gain the visibility, achieve provability, and take the corrective actions necessary to ensure that the quality of the data feeding into critical risk measurement and monitoring processes provides the transparency and control required. 

 

Where is your risk?

 

Approach

Trillium’s Data Governance for Risk and Compliance helps risk management professionals put into place a practice that identifies and monitors the accuracy, appropriateness, and completeness of data across data sources feeding risk models and manages the quality of data over time.

 

 

 

Experienced Trillium subject matter experts work with your organization to assess and quantify the data quality issues that impact the accuracy of your data models and put controls and practices in place to manage over time. Risk teams are then able to prioritize issues and attributes that have critical impact to the business, and define ongoing best practices that detect, monitor, and report on data conditions to create a high degree of confidence in the data that is critical to your risk model results.

 

Accelerate Your Risk and Compliance Initiative

Accelerate your ability to identify data quality issues and build the required monitoring and alerts to stay abreast of data conditions. Leverage our robust data analytic capabilities to automatically identify gaps in the data being used in risk models. Our solution platform provides the necessary statistics to quantify conditions and track changes identified for corrective action. The platform is highly scalable and flexible and able to incorporate custom business rules that meet specific data quality requirements and conditions. Our experienced Trillium Subject Matter Experts can rapidly analyze data conditions; work with business experts to create custom business rules that meet the organization’s requirements for accuracy and transparency.

 

 

 


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