Dimension Impact Analysis via Influence Calculation
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Solution Overview
Problem
Users of large data sets, particularly in business intelligence, face challenges in determining which data dimension values have the greatest impact on overall results without extensive knowledge of the data or analysis tools, due to the complexity and size of the data sets.
Innovation Solution
A cloud-based data presentation system that automatically calculates and presents an influence or impact rating for each dimension value, using modules like influence calculation and rating modules, and employs classification and regression tree models to determine the influence of dimension values on the data set, allowing users to visualize the effects of modifying these values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data sets are made larger and more comprehensive to provide better business intelligence, then the quality and depth of analysis improve, but the difficulty of determining which dimension values have the greatest impact increases
Solution Approach 1:
The patent introduces an intermediary system that computes influence values for dimension values. This intermediary layer (the influence calculation module) mediates between the large comprehensive data set and the user, automatically determining which dimension values have the greatest impact without requiring users to manually analyze the complex data themselves.
Solution Approach 2:
The patent replaces the mechanical manual analysis process with an automated computational system. Instead of users manually examining large data sets to determine dimension value impacts, the system automatically calculates influence values using algorithms that process the data and generate rankings of dimension value importance.
2Ease of operation
If data sets are customized and filtered by users without IT expert assistance, then ease of operation improves, but the ability to accurately determine dimension value impact deteriorates
Solution Approach 1:
The patent enables self-service by allowing users to independently determine dimension value impacts without requiring IT expert assistance. The system provides automated influence calculations that users can access and interpret on their own, empowering non-technical users to perform sophisticated data analysis.
Solution Approach 2:
The automated influence calculation system acts as an intermediary that bridges the gap between user-friendly operation and precise measurement. It translates complex data relationships into simple influence rankings that users can easily understand while maintaining measurement accuracy through systematic computation.
3Productivity
If automated influence calculation systems are implemented, then ease of operation and productivity improve, but device complexity increases
Solution Approach 1:
The patent segments the complex analysis task into distinct functional modules: data reception module, influence calculation module, and presentation module. This segmentation allows the system to handle complexity internally while presenting a simple interface to users, improving productivity without requiring users to understand the underlying complexity.
Data Source
AI summary
Example embodiments of a system and method for analyzing and causing presentation of an impact or influence of a value of a dimension on a data set are described. In an example embodiment, a data set organized according to a first dimension is accessed from a data store. An influence value indicating an influence on the data set of at least one value of the first dimension is calculated. At least one of an influence rating and an influence ranking of the at least one value of the first dimension is determined based on the calculated influence value. The influence rating or ranking of the at least one value relative to other values of the first dimension is caused to be presented in conjunction with at least a portion of the data set organized according to the first dimension.