Automated Investment Data Processing and Validation System

The client faces significant risks associated with manual investment data entry, leading to human errors that impact processing throughput and data integrity. Their current systems lack automated validation and integration capabilities, resulting in delays and errors in investment-related workflows.

A mid-sized financial technology firm aiming to enhance data accuracy and streamline investment data workflows through automation.

• Develop a system to automatically process and validate investment form data, minimizing human error.
• Create integrated APIs to facilitate seamless data exchange between core systems and external tools.
• Implement process validation rules to ensure data quality throughout the pipeline.
• Enable image-to-text conversion (OCR) for digitizing investment documents, reducing manual data entry.
• Improve overall data throughput and accuracy, resulting in faster decision-making and reporting.

• Automated data ingestion from investment forms and images
• Optical Character Recognition (OCR) capabilities for image-to-text conversion
• Validation engine applying business rules to ensure data accuracy
• An orchestrator module managing data traffic and system communications
• APIs enabling integration with existing financial data systems and analytics platforms
• Database structure modifications to support data processing workflows

• External financial data management systems
• Document management portals
• Analytics and reporting tools
• Existing core banking and investment platforms

• High scalability to process large volumes of investment forms
• Minimal latency with real-time or near real-time data processing
• Data security and compliance with financial regulations
• Robust error handling and logging mechanisms
• Maintainability and extensibility for future enhancements

The proposed system aims to significantly reduce human errors in investment data entry, improve processing throughput, and enhance data quality. Target outcomes include decreased error rates, faster processing times, and more reliable data integration, thereby enabling better decision-making and compliance in financial operations.