Decomposition Tree for Multidimensional Data Visualization
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Solution Overview
Problem
Organizations face difficulties in quickly and accurately making business decisions due to the complexity of large data volumes, despite advancements in OLAP and multidimensional data models, as existing methods lack easy-to-use and interactive tools for visualizing and browsing data effectively.
Innovation Solution
The implementation of a decomposition tree system that allows users to customize the display of multidimensional data by splitting nodes along selected dimensions, providing a flexible and interactive way to explore and visualize complex datasets, enabling users to focus on relevant information for decision-making without clutter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If large volume of data is collected and analyzed using OLAP and multidimensional data models, then data analysis capability is improved, but data visualization complexity and difficulty of understanding increases
Solution Approach 1:
The patent segments multidimensional data into a hierarchical decomposition tree structure, where the root node represents the entire dataset and child nodes represent progressively finer granularities. This segmentation allows complex data to be broken down into manageable, visually representable units that maintain analytical depth while reducing visualization complexity.
Solution Approach 2:
The patent transforms multidimensional data relationships into a tree-based hierarchical dimension, organizing data along multiple dimensions (e.g., time, category, region) as nested levels in the decomposition tree. This dimensional transformation enables complex multidimensional relationships to be visualized in a structured, intuitive format that reduces cognitive load.
2Loss of information
If traditional data display methods are used, then data can be displayed, but ease of use and interactivity for browsing and exploring data is insufficient
Solution Approach 1:
The patent implements a dynamic decomposition tree that responds to user interactions, allowing users to expand or collapse nodes, navigate through different levels of granularity, and explore data relationships interactively. This dynamic behavior transforms static data display into an engaging, user-friendly exploration experience while maintaining complete data representation.
3Loss of information
If all multidimensional data is displayed to provide complete information, then data completeness is improved, but visual clarity and ease of understanding deteriorates due to clutter
Solution Approach 1:
The decomposition tree segments data into hierarchical levels, allowing users to view data at appropriate granularities. Users can expand specific branches to see detailed information while keeping other areas collapsed, maintaining visual clarity while preserving access to complete data when needed.
Solution Approach 2:
The patent applies local quality by allowing different parts of the decomposition tree to be expanded or collapsed based on user needs. Each node can be independently controlled, enabling users to focus on specific areas of interest with detailed information while keeping other areas summarized, thus maintaining overall visual clarity while providing complete information on demand.
Data Source
AI summary
Embodiments of the present disclosure provide systems and methods for displaying multidimensional data in a decomposition tree. The decomposition tree may include a plurality of levels, with the first level including a parent node representing the multidimensional data and the subsequent levels including one or more nodes representing a subset of the data repressed by the parent node along dimensions selected by a user. The decomposition tree may include nodes belonging to the same dimension in different levels of the decomposition tree. A node in the decomposition tree may be split by more than one dimension inside a same subsequent level.