Dynamic Business Intelligence Alert Trigger Generation
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Solution Overview
Problem
Current business intelligence software requires manual and time-consuming maintenance of static alert trigger values, which are not dynamically updated, leading to inefficiencies in monitoring business-specific attributes.
Innovation Solution
A method and system for dynamically generating business intelligence alert triggers using historical data values, where baseline and trigger values are continuously refined based on new data, eliminating the need for manual maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual maintenance of static alert trigger values is used, then initial setup is simple, but ongoing maintenance is time-consuming and manually intensive
Solution Approach 1:
The patent transforms static, manually-configured trigger values into dynamic values that automatically adjust based on historical data analysis. The system continuously monitors data patterns and recalibrates trigger thresholds without manual intervention, resolving the contradiction between simple initial setup and time-consuming maintenance.
Solution Approach 2:
The system performs self-maintenance by automatically analyzing historical data and adjusting trigger values based on learned patterns. This eliminates the need for manual maintenance while preserving the simplicity of initial configuration, as the system serves itself once deployed.
2Ease of operation
If static trigger values are used, then configuration is straightforward, but the values become outdated over time
Solution Approach 1:
The system implements continuous feedback loops where historical data is analyzed to determine whether trigger values remain appropriate. The system learns from past events and automatically adjusts thresholds to maintain reliability while keeping configuration simple through automated adaptation.
Solution Approach 2:
The system performs preliminary analysis of historical data patterns before setting initial trigger values, and continuously performs preliminary assessments to detect when adjustments are needed. This maintains both configuration simplicity and value currency through proactive, automated calibration.
3Measurement precision
If manual calibration of trigger values is performed, then initial accuracy can be achieved, but ongoing refinement is delayed and labor-intensive
Solution Approach 1:
The patent implements continuous automated refinement of trigger values by constantly analyzing new historical data and adjusting thresholds in real-time. This replaces discrete, manual calibration cycles with continuous automated improvement, maintaining high accuracy while dramatically increasing refinement speed and productivity.
Data Source
AI summary
The present invention provides a method, system, and computer program product for dynamically generating business intelligence alert triggers. A method in accordance with an embodiment of the present invention includes: identifying an attribute; monitoring data values associated with the attribute; analyzing the data values to establish a baseline value; generating a trigger value based on a variance from the baseline value; and repeating the monitoring, analyzing and generation steps to dynamically refine the baseline value and the trigger value based on new data values.