A Strategic Shift in Financial Data Management

The Solution:

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Our firm implemented a comprehensive two-year data project focusing on four core expertise pillars:

Data Integration and Transformation:

• Conducted a thorough assessment of existing data architecture and systems.
• Collaborated with finance users to identify critical data elements required for downstream reports.
• Established a new regional consolidation layer to centralize and standardize independent ledger systems.

Advanced Technologies Utilization:

• Leveraged Informatica for data standardization and quality cleanup in the landing zone.
• Implemented Kafka and Drools for data transfer and consolidation in the staging area.
• Introduced a graphical user interface for real-time data visualization and custom reporting in the reporting layer.

Regulatory Reporting Optimization:

• Streamlined regulatory reporting processes, reducing errors and enhancing efficiency.
• Integrated with downstream reporting tools such as RegReporter, Axiom, and custom liquidity reporting tools.

Data Quality and Governance:

• Developed a data lineage to ensure transparency and traceability.

• Implemented internal control reports in the reporting layer for continuous monitoring.

Methodology:

Discovery and Assessment:

• Conducted in-depth interviews and workshops with stakeholders to identify pain points and requirements.

Collaborative Design:

• Collaborated closely with finance users to design the optimal data architecture, considering their specific needs.

Iterative Implementation:

• Adopted an iterative implementation approach, implementing solutions in phases for continuous improvement.

User Training and Adoption:

• Provided comprehensive training sessions for end-users to ensure effective utilization of the new data infrastructure.

Continuous Monitoring and Optimization:

• Implemented continuous monitoring mechanisms, including internal control reports, to identify and address issues promptly.

The Results:

The methodology employed across the four pillars resulted in transformative outcomes:

• Enhanced Data Quality: Significant improvement in data quality and uniformity, addressing previous issues.
• Efficient Reporting: Streamlined regulatory reporting processes, reducing errors and enhancing overall efficiency.
• Centralized Access: Provided a centralized platform for easy data access and reporting customization.

• Real-time Visualization: Enabled users to generate custom reports in real-time, enhancing decision-making.

Measurable Success:

Data Quality Improvement:

• Pre-implementation data quality issues reduced by 70%.
• Standardized data elements resulted in a 65% reduction in data discrepancies.

Regulatory Reporting Efficiency:

• Reduced reporting errors by 60%.
• Increased reporting speed by 40% due to streamlined processes.

User Engagement and Satisfaction:

• User satisfaction increased by 85% with the introduction of the graphical user interface.
• Custom report generation time reduced by 80%.

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Conclusion:

The success of our two-year data transformation project at this bank showcases our commitment to delivering comprehensive solutions that address complex data challenges. By streamlining the data architecture, improving reliability, and enhancing reporting capabilities, we not only met regulatory reporting requirements but also empowered this bank with a robust and adaptable data infrastructure. This case study stands as a testament to our ability to navigate intricacies, drive innovation, and position our clients for sustained success in the ever-evolving landscape of financial data management.

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