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Automated Investment Data Integration and Presentation System for Asset Management
  1. case
  2. Automated Investment Data Integration and Presentation System for Asset Management

Automated Investment Data Integration and Presentation System for Asset Management

trigent.com
Financial services

Challenges in Manual Data Handling and Client Reporting

The client experiences significant delays and errors in building investment presentations due to manual data extraction from disparate systems. These inefficiencies lead to prolonged turnaround times, regulatory noncompliance, and decreased client satisfaction, hampering the firm’s growth ambitions.

About the Client

A midsize independent investment advisory firm specializing in alternative assets, seeking to optimize data analysis and client reporting processes.

Goals for Automating Data Integration and Client Reporting

  • Reduce the time required to generate investment reports from weeks to less than a few hours.
  • Decrease manual data handling efforts, minimizing errors by at least 70%.
  • Enhance regulatory compliance through automated validation and error reduction.
  • Enable investment managers to access accurate, consolidated data swiftly for decision-making.
  • Improve operational efficiency by up to 80%, supporting scalable growth.
  • Integrate multiple legacy and external data sources into a unified platform to ensure 100% data accuracy.

Core Functional Capabilities for Investment Data Automation

  • System integration with external data sources such as global market trend analytics platforms.
  • CRM system integration for access to existing client data.
  • Data warehousing solutions for data extraction, transformation, and storage.
  • Automated generation of detailed investment research reports in presentation format.
  • Self-service, wizard-guided user interface for searching, evaluating, and selecting investment managers.
  • Automated portfolio analysis tools to support discretionary decision-making.
  • User preferences saving and override capabilities for customized report generation.
  • Real-time dashboards for tracking key performance indicators and data visualization.

Technology Stack and Architectural Preferences

Modern web application framework supporting cross-browser and cross-device compatibility, such as .NET or an equivalent scalable platform
Data integration tools like SSIS or similar for ETL processes
Secure, scalable cloud-based infrastructure to support high availability and performance
Responsive UI/UX design for ease of use across desktops, tablets, and smartphones

Essential System Integrations

  • External analytics and trend analysis platforms for global market insights
  • CRM systems containing client and customer data
  • Legacy data sources involved in investment management workflows

Performance, Security, and Compliance Standards

  • System must support high-volume data processing with minimal latency, aiming for report generation within an hour
  • Data accuracy to be maintained at 100% through automated validation mechanisms
  • Scalable architecture to accommodate growth in data volume and user base
  • Robust security protocols to ensure regulatory compliance and data protection
  • User-friendly interface with step-by-step guidance and customizable options

Projected Business Benefits of System Automation

The implementation of the automated investment data analysis and reporting platform is expected to significantly enhance operational efficiency by up to 80%, cut report generation times from weeks to hours, reduce errors by at least 70%, and improve client satisfaction through faster, more accurate services. The system will also support scalable growth and ensure full regulatory compliance, leading to increased revenue opportunities and stronger competitive positioning.

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