Display Management for Synchronized Analytics Visualizations
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Solution Overview
Problem
Data visualizations in computing environments often go unnoticed due to users being distracted, and synchronizing displays across multiple users is challenging, leading to delayed identification of anomalies and inconsistent views.
Innovation Solution
A display management system that registers and groups displays to centrally manage data visualizations, ensuring consistent and synchronized viewing of analytics data across multiple users and locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data visualizations are displayed on monitors for simultaneous viewing, then accessibility to users is improved, but user attention is diverted and anomalies go unnoticed for extended periods
Solution Approach 1:
The system implements automated alerting mechanisms that provide feedback when anomalies are detected in the analytics data. This feedback loop notifies users through multiple channels (visual, auditory, mobile notifications) immediately when significant events occur, eliminating the need for continuous user monitoring and reducing response time to anomalies.
Solution Approach 2:
The system performs self-monitoring of the analytics data, automatically detecting anomalies and generating alerts without requiring user attention. The automated system serves itself by continuously analyzing data streams and triggering notifications only when necessary, freeing users from the burden of constant surveillance while maintaining rapid anomaly detection.
2Adaptability or versatility
If each user manually configures data visualizations with specific settings, then customization is improved, but synchronization and consistency across users deteriorate
Solution Approach 1:
The system merges the benefits of customization with centralized management by implementing a template system. Users can create customized visualization templates with their preferred settings and configurations, which are then stored centrally and automatically distributed to all other users. This ensures that customization is preserved while maintaining consistency across all user displays.
Solution Approach 2:
The system performs preliminary configuration by allowing users to define their visualization preferences in advance through templates. These pre-configured templates are then automatically applied to all users' displays, eliminating the need for each user to manually configure settings and ensuring consistent displays across the organization while preserving individual customization choices.
3Ease of operation
If users view different data visualizations with similar templates but different underlying datasets, then individual user needs are met, but synchronization and consistency are lost
Solution Approach 1:
The system creates and manages copies of standardized visualization templates that reference a central data source. Each user receives an identical copy of the template configuration, ensuring consistency in how data is displayed and filtered. The templates are designed to automatically pull from the same underlying datasets, ensuring that all users are viewing synchronized data even if they access the visualizations at different times or from different locations.
Data Source
AI summary
In various implementations, a display of a display device is registered based on receiving a request from the display device. User input is received from a display management device indicating a display configuration setting for the display. User input is received indicating an assignment of a data visualization of analytics data to the registered display based on the display configuration setting. In response to the receiving of the user input indicating the assignment, data is sent that causes the data visualization to be presented on the registered display.