Unified Data Aggregation and Inquiry System for Enhanced Internal Decision-Making

The client faces difficulties in consolidating information from multiple internal sources, leading to disconnected data views and inefficiencies in decision-making processes. There is a need for a unified system that offers consistent data readings across various departments to facilitate rapid inquiry and transaction support.

A mid-to-large-sized technology solutions provider with diverse internal data sources seeking streamlined data access and analysis tools.

• Develop a system capable of aggregating internal data from multiple sources to provide comprehensive data views.
• Establish a common data reading model to ensure consistency across inquiries.
• Deliver rapid access to detailed data prior to transactional entries to enhance decision accuracy.
• Enable quick presentation of individual inquiry results through optimized data read models, improving operational efficiency.

• Data aggregation layer that gathers and consolidates information from multiple internal systems.
• A common data reading model that standardizes data presentation and access protocols.
• Pre-transaction data display feature that provides detailed insights prior to user actions.
• Data read models optimized for rapid response, enabling quick data retrieval and display.

• Integration with various internal data repositories and operational systems
• APIs or connectors facilitating data access and aggregation

• High scalability to accommodate increasing data volume and user load
• Fast response times to ensure swift data presentation—targeting sub-second query responses
• Robust security protocols to protect sensitive internal data
• High availability and system reliability to support continuous operations

The implementation of the centralized data aggregation and inquiry system is expected to enhance data accessibility and decision-making efficiency, enabling faster inquiry responses and more informed internal transactions. This will contribute to improved operational workflows and increased group-wide data utilization, similar to previous successful initiatives that achieved rapid data presentation and aggregated insights.