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Automation and System Integration for Digitized Investor Data Management
  1. case
  2. Automation and System Integration for Digitized Investor Data Management

Automation and System Integration for Digitized Investor Data Management

knubisoft.com
Financial services
Business services
Real estate

Identifying Challenges in Manual Investor Data Collection and Discrepancy Management

The client faces significant inefficiencies and inaccuracies in processing paper-based investor forms, with a high error rate (approximately 50%) requiring manual intervention, especially regarding address and contact information. Discrepancies during interactions with external systems for compliance and CRM data exchange lead to delays and potential compliance risks. The manual data entry process hampers operational efficiency and data accuracy, affecting strategic decision-making.

About the Client

A mid-sized investment firm managing a large portfolio of investor data across various sectors, seeking to streamline their data collection, validation, and integration processes.

Goals for Automating Investor Data Capture and System Integration

  • Digitize paper investor forms to reduce manual data entry efforts.
  • Automate the transfer and validation of investor data across multiple internal and external systems to minimize errors.
  • Implement validation procedures and quality control steps, including second-level data verification.
  • Enable seamless integration with third-party systems for investment processing and customer relationship management.
  • Reduce application processing time, increase data accuracy, and streamline compliance checks.

Core Functional Specifications for Investor Data Automation System

  • Digital forms interface for investor data entry, supporting various input types.
  • Automated data validation procedures including address and contact verification.
  • Second operator verification workflow for quality assurance of digitized data.
  • Customizable feature toggles to enable or disable specific functionalities dynamically.
  • Comprehensive logging system for activity tracking and issue resolution.
  • Continuous Integration and Delivery (CI/CD) pipelines to automate deployment.
  • Secure data handling and compliance with relevant data protection standards.

Technological Platforms and Architecture Preferences

.NET framework
Azure Functions
Azure SQL
ASP.NET
Microservices architecture
Cloud-based deployment for scalability and flexibility

Essential External System Integrations

  • Third-party investment management system for data storage and processing
  • CRM platform for client relationship data synchronization
  • Validation services for address and income source verification
  • Compliance and AML/KYC systems for background checks

Key System Performance and Security Considerations

  • System scalability to support increasing number of investor applications
  • High availability and reliability with minimal downtime
  • Performance optimized for fast form processing and data validation
  • Security measures to ensure data confidentiality and compliance with regulatory standards
  • Audit logging for all data processing activities

Projected Business Benefits and Operational Improvements

By digitizing investor forms and automating data workflows, the client is expected to significantly reduce processing times, decrease manual errors by over 50%, and improve data accuracy. Integration with core systems will enable real-time insights, streamline compliance procedures, and enhance operational efficiency, ultimately supporting better decision-making and investor management.

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