What We Did

• Unified disparate datasets into a single view of public and private assets

• Built automated workflows for discrepancy resolution and data validation

• Created a standardized asset identifier to align internal and external data

• Enabled real-time portfolio insights and actionability

Outcomes

• 80% drop in data quality issues

• 70% reduction in manual prep time

• Scaled to handle growing data volume and complexity

• Activated AI-driven insights for faster decisions