Channel Scenario Charts for Maximum Churn Rate Analysis
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Solution Overview
Problem
Existing chart-based analysis methods require manual checking and calculation of maximum churn rates across business process nodes, leading to high costs and inefficiencies in insight problem search, with limited display space, low interaction, and insufficient diversity in chart styles.
Innovation Solution
An information display method and apparatus that intuitively displays the maximum churn rate among business process nodes in a chart, incorporating interactive features like direct parameter adjustment and diverse chart types, reducing manual calculations and optimizing display space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual checking and calculation of churn rates is used, then measurement precision is maintained, but productivity decreases
Solution Approach 1:
The patent replaces manual mechanical calculation of churn rates with automated computational systems. The system automatically calculates churn rates for all business process nodes and identifies maximum values, substituting human manual operations with algorithmic processing while maintaining calculation accuracy.
Solution Approach 2:
The system performs self-service by automatically computing and displaying maximum churn rates without requiring manual intervention. The automated system serves itself by processing data, identifying key metrics, and presenting insights independently, thereby eliminating the need for manual checking and calculation.
2Loss of information
If detailed business process nodes are displayed, then information completeness is improved, but device complexity increases
Solution Approach 1:
The patent extracts and highlights only the most critical information - the maximum churn rate - from the complex business process data. By taking out the key insight and presenting it prominently, the system maintains information completeness while reducing display complexity, allowing users to quickly grasp essential metrics without being overwhelmed by detailed node information.
Solution Approach 2:
The system applies local quality by differentiating the display treatment of various data elements. The maximum churn rate receives special visual emphasis and prominent positioning, while other business process nodes are displayed with lesser visual weight. This selective quality distribution allows comprehensive information to be presented without uniformly increasing complexity across all elements.
3Adaptability or versatility
If multiple chart types are provided, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements universality by designing a chart system that can automatically adapt to multiple display scenarios and user needs. The same underlying charting infrastructure supports various chart types and configurations, allowing the system to serve diverse analytical requirements without requiring separate specialized systems for each chart style.
Solution Approach 2:
The system applies dynamics by making chart types and configurations adjustable and adaptable rather than fixed. Users can dynamically select and modify chart styles based on their specific analytical needs, and the system responds by adjusting the display accordingly. This dynamic adaptability provides versatility while managing complexity through flexible, unified configuration rather than multiple rigid systems.
Data Source
AI summary
The present disclosure relates to an information display method, an apparatus, a medium, an electronic device and a program product. The method includes: displaying charts corresponding to different channel scenarios in response to a trigger operation for conversion analysis of a target business in an information display page; where the target business includes a plurality of business process nodes, and a chart corresponding to a channel scenario includes a maximum churn rate among all business process nodes in the channel scenario determined based on data corresponding to the channel scenario. The displayed chart includes the maximum churn rate among all the business process nodes in the channel scenario determined based on the data corresponding to the channel scenario.