Leading American Bank Improves Regulatory Data Accuracy by 75%

Challenges

• Fragmented data landscape across multiple systems including Snowflake, causing inconsistencies
• Manual, reactive data quality processes delaying insight generation and increasing risk
• Limited real-time visibility into critical data pipelines impacting proactive issue resolution
• Complex regulatory requirements demanding high data accuracy and completeness

Solution

• Native Snowflake connector enabling seamless profiling and monitoring of key banking datasets
• Integration with dbt providing automated data quality checks within transformation pipelines
• Advanced profiling with granular attribute-level insights and anomaly detection
• Role-based access governance combined with out-of-the-box dashboards for broad observability

Results

• 40% faster time-to-insight for business and analytics teams
• Over 60% reduction in manual data issue triage through automation and anomaly detection
• 75% improvement in regulatory data accuracy, enhancing compliance posture
• 20% boost in customer satisfaction linked to reliable, timely customer data