Dynamic Data Refresh System for Contact Center Reporting
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Solution Overview
Problem
Conventional methods for refreshing report data in contact centers are resource-intensive, leading to network overload and inefficient use of computing resources, as they often transmit unnecessary data and maintain high refresh rates even when administrators are not actively viewing reports or when data is unchanging.
Innovation Solution
An intelligent database information delivery system that dynamically adjusts refresh rates and query scopes based on factors like user presence, data change frequency, and system load, using a programmable rules engine to optimize data delivery and minimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data refresh rate is increased to provide real-time reporting, then reporting timeliness is improved, but system resource consumption increases
Solution Approach 1:
The patent implements dynamic refresh rate adjustment where the system automatically modifies data refresh intervals based on real-time system conditions. When system load is high, refresh rates are reduced; when resources are abundant, refresh rates increase. This dynamic adaptation resolves the contradiction by making refresh rates flexible rather than fixed, allowing the system to maintain real-time reporting capability while consuming fewer resources during high-load periods.
Solution Approach 2:
The system changes the parameter of refresh rate based on system state. By monitoring system load, user activity, and data change frequency, the system adjusts the refresh rate parameter dynamically. This allows the same reporting system to operate at different refresh rates under different conditions, resolving the contradiction between timely reporting and resource consumption.
2Loss of information
If full data set is transmitted to ensure data completeness, then data accuracy is improved, but network bandwidth consumption increases
Solution Approach 1:
The patent extracts and transmits only the necessary subset of data rather than the complete data set. By analyzing what data is actually needed for current reporting requirements and user context, the system extracts only those specific data elements that must be refreshed, leaving out redundant information. This extraction approach maintains data completeness for necessary elements while dramatically reducing network bandwidth consumption.
Solution Approach 2:
The system applies partial action by transmitting a partial data set that is sufficient for current needs rather than the complete data set. Based on user presence, active reports, and data change frequency, the system determines the minimum necessary data to transmit, achieving adequate data completeness with reduced network usage.
3Measurement precision
If high refresh rate is maintained to ensure data freshness, then reporting accuracy is improved, but system performance degradation increases
Solution Approach 1:
The patent implements periodic refresh action with variable intervals rather than continuous high-frequency refreshing. The system determines optimal refresh intervals based on data change frequency, user activity patterns, and system load. This periodic approach with adaptive timing maintains data freshness when necessary while allowing system resources to recover during lower-priority periods, thus improving overall system performance.
4Reliability
If data refresh is performed continuously to maintain real-time reporting, then reporting reliability is improved, but computing resource waste increases
Solution Approach 1:
The system employs feedback mechanisms to monitor system state, user activity, and data change events. Based on this feedback, the system intelligently determines when data refresh is actually necessary and adjusts refresh timing accordingly. This feedback-driven approach maintains reporting reliability by refreshing data in response to actual changes or user needs while avoiding unnecessary continuous refreshing that wastes computing resources.
Solution Approach 2:
The system performs self-service by automatically adjusting its own refresh behavior based on monitored conditions without requiring external intervention. The intelligence component continuously evaluates system state and autonomously modifies refresh rates and data selection, enabling the system to maintain reliability while minimizing resource waste through self-optimized operation.
Data Source
AI summary
Systems and methods of the present disclosure are directed to efficiently editing data requests sent from devices, allowing for an improved database information delivery system. In some embodiments of the present disclosure, an administrator device limits an amount of data requested based on a number of factors prior to sending the request to a server. In some embodiments, a server, after receiving a request for refreshed data, reduces the amount of data requested based on a number of factors prior to retrieving the requested data from a source and delivering the requested data to an administrator device.