Dynamic Visual Representation with Social Annotation for Evolving Datasets
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Solution Overview
Problem
Users face inefficiencies in analyzing and visualizing changing business data, as existing methods require manual updates and note management, leading to compromised communication and potential financial losses due to the inability to track data effectively.
Innovation Solution
A method for generating and updating a visual representation of a dataset, where markers and notes are dynamically managed based on data changes, with alerts triggered when data exceeds a threshold, allowing for efficient tracking and collaboration among users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual updates and note management are used for visualizing changing business data, then users can track data points and add annotations, but the process becomes time-consuming and inefficient requiring multiple document copies
Solution Approach 1:
The patent merges multiple separate functions (data visualization, annotation management, version tracking, and collaboration) into a single integrated digital system. Users can view evolving data representations and manage all annotations in one unified interface, eliminating the need for multiple document copies and manual tracking processes.
Solution Approach 2:
The system creates and maintains digital copies of the visual representation and its annotations automatically as data evolves. Instead of manually copying physical documents, the system generates updated digital versions while preserving the complete annotation history, allowing efficient distribution and tracking without manual intervention.
2Ease of operation
If multiple copies of data and visualizations are distributed to colleagues, then communication can occur, but the process is inefficient and valuable communication may be compromised
Solution Approach 1:
The system provides a universal digital platform that handles multiple functions simultaneously: data visualization, annotation storage, version control, and collaborative communication. This multi-functional system replaces the need for multiple separate documents and communication channels, improving both ease of operation and productivity.
3Reliability
If the visual representation is automatically updated to reflect dataset changes, then data tracking accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing the relationship between data changes and their visual representations. When data changes occur, the system can quickly apply pre-defined update rules and algorithms, reducing the actual processing time required while maintaining accurate tracking of all data evolutions.
4Stability of the object's composition
If markers are maintained on the visual representation through data changes, then annotation relevance is preserved, but computational overhead increases with each update
Solution Approach 1:
The system dynamically manages markers by continuously evaluating their relevance to the evolving data representation. Instead of statically maintaining all markers regardless of data changes, the system adaptively updates marker positions, visibility, and relevance based on current data state, optimizing computational resources while preserving annotation stability when appropriate.
Data Source
AI summary
Systems and methods of social annotation of a single evolving visual representation of a changing dataset are disclosed. In one or more embodiments, the method includes generating a visual representation of a dataset at an initial time and automatically updating the visual representation of the dataset to reflect the dataset at a changed time through an algorithm that applies changed values between the dataset at the initial time and the dataset at the changed time while maintaining a previous calculation of an unchanged portion of the dataset at the initial time. The method further includes generating an alert when the change status indicates that the underlying data has changed beyond the threshold tolerance range. The method further includes placing a note associated with a first user on the visual representation.