Event-Driven Call Generation via Database Triggers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for detecting suspect data patterns in financial transactions, such as stolen credit cards, require human intervention, leading to delayed responses and increased potential for abuse due to the need for manual analysis and handoffs between monitoring groups and call centers.
Innovation Solution
An event-driven Session Initiation Protocol (SIP) call generation system using database triggers, where a database trigger compiles data into HTML and sends a SIP REFER message to a call center, enabling rapid automated notification and action without relying on human interaction or advanced cell phone technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human intervention is used for monitoring and handoff, then analysis accuracy is improved, but response time increases
Solution Approach 1:
The system enables self-service by implementing automated monitoring and analysis capabilities within the call center environment. The call center can independently detect suspect patterns and initiate calls without external handoff, making the system self-sufficient and eliminating dependency on separate monitoring groups while maintaining rapid response times
Solution Approach 2:
The invention merges the monitoring function and call generation function into a single integrated system. By combining data monitoring, pattern detection, and call initiation capabilities within the call center platform, it eliminates the need for separate monitoring groups and manual handoffs, thereby reducing response time while preserving analysis accuracy through unified automated processes
2Speed
If SMS message is used for notification, then response speed is improved, but user accessibility decreases
Solution Approach 1:
The system achieves universality by supporting multiple notification channels including voice calls and SMS messages. The call center platform can selectively use voice calls for users without advanced cell phones and SMS for those with messaging capability, ensuring broad accessibility across different user devices and technologies while maintaining rapid notification delivery
Solution Approach 2:
The invention introduces an intermediary layer (the call center system) that mediates between the detection system and end users. This intermediary can adapt the notification method based on user capabilities, translating alerts into appropriate formats (voice or text) that various user devices can receive, thereby bridging the gap between fast notification needs and diverse user accessibility requirements
3Measurement precision
If data is replicated for analysis, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system applies the extraction principle by removing the data replication step from the analysis process. Instead of copying and replicating data across multiple systems, the invention extracts only the necessary monitoring and analysis functions directly from the incoming data stream, performing pattern detection on the original data without creating redundant copies, thereby simplifying the system architecture while maintaining detection accuracy
Data Source
AI summary
A system, method, and computer readable medium for event driven call generation, comprises, monitoring a database transaction, detecting a suspect pattern in the monitored database transactions, and generating a telephone call based upon the detected suspect pattern.