Dynamic Alert Notification Distribution via Real-Time Data Querying
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Solution Overview
Problem
Existing alert notification distribution tools are inefficient and inaccurate due to reliance on static lists that become obsolete and require labor-intensive maintenance, lacking flexibility and real-time capabilities, which can lead to ineffective communication during critical events.
Innovation Solution
A system and method that converts raw data into conditioned data, allowing users to dynamically select categories and values to generate real-time distribution groups with the most recent information, enabling targeted and efficient communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If static lists of information are used for distribution groups, then the system is simple to create, but the information becomes obsolete over time and requires labor-intensive maintenance
Solution Approach 1:
The patent transforms static distribution lists into dynamic distribution groups that automatically update based on current organizational data. The system queries data sources in real-time to generate distribution groups, ensuring the information remains current without manual intervention. This resolves the contradiction by making the system both easy to create (automatic generation) and reliable (up-to-date information).
Solution Approach 2:
The system performs self-updates by automatically querying data sources and regenerating distribution groups based on current organizational structure. Instead of requiring manual maintenance, the system serves itself by detecting changes and updating distribution groups autonomously, thereby maintaining accuracy without increasing operational complexity.
2Ease of manufacture
If static lists are manually maintained, then initial creation is straightforward, but the process becomes very labor intensive over time
Solution Approach 1:
The system eliminates manual maintenance by implementing automatic data querying and distribution group regeneration. The system periodically queries organizational data sources, detects changes, and updates distribution groups without human intervention, transforming a labor-intensive process into an automated self-service operation that maintains high productivity over time.
Solution Approach 2:
The system establishes continuous automatic updates instead of intermittent manual maintenance. By implementing ongoing automated queries and regenerative processes, the system ensures distribution groups are continuously kept current without requiring repeated manual effort, thereby maintaining high productivity throughout the system's operation.
3Device complexity
If traditional distribution tools are used, then the system structure is simple, but flexibility to create distribution groups according to specific parameters is nonexistent
Solution Approach 1:
The system implements a universal query mechanism that can adapt to multiple data sources and organizational structures while maintaining a consistent interface. The distributed query system can handle various data formats and organizational hierarchies, providing flexibility across different scenarios without requiring separate specialized tools for each case.
Solution Approach 2:
The system enables flexible distribution group creation by allowing dynamic parameter specification in queries. Users can define distribution groups based on various parameters such as department, location, role, or custom attributes by modifying query parameters, thereby achieving high adaptability while maintaining system simplicity through a unified parameter-driven approach.
4Reliability
If real-time distribution groups are generated dynamically, then information accuracy is ensured, but the processing requires more computational resources
Solution Approach 1:
The system performs preliminary actions by establishing query templates and data source connections in advance. By pre-configuring the query structure and data source interfaces, the system reduces the computational overhead during actual distribution group generation, as the framework is already in place and only needs to execute specific queries rather than building the entire system from scratch each time.
Solution Approach 2:
The system applies local quality by optimizing query execution for specific data sources and organizational segments. Instead of processing entire organizational databases uniformly, the system queries only relevant portions of data sources needed for each distribution group, thereby reducing overall computational resource consumption while maintaining accuracy for each specific distribution group.
Data Source
AI summary
An alert notification distribution tool is disclosed. In particular embodiments, a method includes receiving raw data from a first data source in a first format and converting the raw data to conditioned data. The method also includes selecting, based on user input, a first category of a plurality of categories included in the conditioned data. The method also includes selecting, based on user input, one or more values from a plurality of values associated with the selected first category and generating a distribution group based on the selected first category and the selected one or more values associated with the selected first category, the distribution group including one or more contact addresses.