Development of a Centralized Customer Data Management System for Multi-Service Investment Platforms

The client operates several standalone services within their digital ecosystem, each maintaining its own customer database with varying scopes of personal data, leading to data inconsistency and operational inefficiencies. This fragmentation impairs customer management, data accuracy, and operational decision-making, necessitating a secure, centralized customer data platform to streamline operations across all services.

A mid to large-sized investment management firm operating a digital ecosystem with multiple independent services and customer databases, requiring centralized data synchronization and management.

• Develop a secure, scalable, and easily manageable centralized customer data management system supporting multiple services within the ecosystem.
• Create modules for data retrieval, management, synchronization, and conflict resolution to ensure data consistency across all connected services.
• Implement an authentication and authorization layer to safeguard sensitive customer data and enable seamless user access.
• Integrate the new platform with existing digital services to allow real-time data synchronization and management.
• Design a user-friendly interface for managing customer data and resolving data conflicts efficiently.
• Establish a flexible architecture that allows scaling to additional data sources and integrating new algorithms or services as needed.

• API layer for secure retrieval and management of customer data
• Data synchronization queue to facilitate consistency across services
• Error handling and conflict resolution mechanisms within the queue
• An administrative user interface for managing data, monitoring synchronization, and resolving conflicts
• An authentication service with integrated open ID provider for user identity verification
• Separation of core data management and authentication functionalities for modularity

• Existing digital service platforms for data synchronization
• Authentication and identity management systems
• Potential data sources for extended scalability

• High scalability to support increasing data volume and additional sources
• Robust security protocols to protect sensitive customer information
• High availability and reliability with minimal downtime
• Performance optimized for real-time data retrieval and synchronization
• Usability focused UI for administrative management

The implementation of the centralized customer data management system is expected to significantly improve data accuracy, operational efficiency, and customer experience. It will enable real-time data synchronization across multiple services, reduce data inconsistency issues, and support business growth through scalable architecture. The solution aims to optimize customer data handling for over 55,000 investors, facilitating better decision-making and market trend analysis.