Collaborative Data Visualization Asset Segmentation
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Solution Overview
Problem
Current data visualization techniques are inefficient for high-dimensional 'big data' sets, requiring significant computing resources and manpower, and lack effective collaboration tools for multiple users working on the same data sets.
Innovation Solution
A collaborative data visualization system that enables multiple users to share and modify data visualizations through a data visualization asset comprising a data component, execution context, and visual assets, with tracking of modifications and extensible sharing capabilities, allowing for regulation and standardization across an enterprise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data visualization techniques are used on big data sets, then data visualization can be achieved, but significant computing resources and time are required
Solution Approach 1:
The patent segments the data visualization process into three distinct components: data component (data sets and data sources), execution context component (processes and parameters), and visual asset component (visualizations and charts). This segmentation allows each component to be independently managed, processed, and optimized, significantly improving visualization efficiency with big data sets by enabling parallel processing and selective regeneration of only modified components.
2Adaptability or versatility
If multiple users work on the same data set independently, then individual customization is achieved, but collaboration efficiency deteriorates due to redundant efforts
Solution Approach 1:
The patent merges multiple users' visualization efforts into a shared repository of data visualization assets. Users can access, modify, and build upon each other's work through the common platform, eliminating redundant efforts while maintaining individual customization capabilities through the modular component structure. This combining approach enables collaborative efficiency without sacrificing user adaptability.
Solution Approach 2:
The patent enables users to copy and reuse existing data visualization assets and their components across different projects and users. Instead of recreating visualizations from scratch, users can replicate proven visual assets and modify them as needed, significantly improving collaboration efficiency while maintaining the ability to customize each instance.
3Productivity
If data visualization assets are shared across users, then collaboration is improved, but control over modifications and standardization becomes more difficult
Solution Approach 1:
The patent implements dynamic control mechanisms for shared data visualization assets, allowing modification permissions and policies to be flexibly configured based on asset type, user role, and organizational requirements. The system can dynamically adjust what aspects of assets are editable, who can access them, and how changes are tracked, maintaining both collaboration efficiency and reliable control over modifications.
Solution Approach 2:
The patent incorporates feedback mechanisms that track modifications to shared data visualization assets, recording who made changes, what was changed, and when. This feedback loop enables organizational oversight and quality control while maintaining collaborative workflows, as changes can be reviewed, approved, or reverted based on organizational policies and standards.
Data Source
AI summary
Information processing techniques for providing collaborative data visualization in a computing system. For example, a method comprises the following steps. A data visualization asset is obtained. The data visualization asset comprises a data component, an execution context component, and a visual asset component, wherein at least one visual asset of the visual asset component is generated from a data set of the data component by execution of at least one process of the execution context component. Collaborative modification of the data visualization asset by at least a portion of a plurality of users is enabled in accordance with a given policy. Information corresponding to the modification of the data visualization asset is tracked.