Business Storyboard Threshold Allocation
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Solution Overview
Problem
Business performance visualization tools often overwhelm decision-makers with excessive detailed imagery, making it difficult to identify key performance aspects and facilitate effective decision-making.
Innovation Solution
A method and system for business storyboarding that generates a slideshow or movie by allocating larger portions of the storyboard to visualizations reflecting performance above or below a threshold level, while allocating smaller portions to nominal performance, allowing for a focused and simplified visualization of business performance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive visualizations of all business performance data are generated, then complete business performance analysis is achieved, but the analysis is lost in a sea of detailed imagery making it difficult to identify key performance aspects
Solution Approach 1:
The patent segments the comprehensive business performance visualizations into distinct frames within a storyboard sequence. Each frame focuses on specific performance aspects (sales, marketing, inventory, etc.), dividing the overwhelming sea of detailed imagery into manageable, organized segments that can be systematically analyzed without losing overall business performance context.
Solution Approach 2:
The patent applies local quality by allocating different portions of the storyboard to visualizations based on their performance significance. Frames depicting performance exceeding thresholds or falling below thresholds are given prominent placement and larger portions, while nominal performance visualizations receive smaller portions. This ensures that key performance aspects are visually emphasized according to their local importance rather than treating all visualizations equally.
2Quantity of substance
If detailed visualizations of all business aspects are created, then comprehensive performance data is presented, but decision-making is hindered by the overwhelming amount of information
Solution Approach 1:
The patent performs preliminary action by pre-organizing business performance visualizations into a structured storyboard sequence before presentation to decision-makers. The system automatically sequences frames, allocates portions based on performance significance, and prepares the visual narrative in advance. This preliminary organization reduces the cognitive load on decision-makers during actual review, making decision-making easier despite the comprehensive quantity of data presented.
Solution Approach 2:
The patent applies partial action by selectively emphasizing only those visualizations that depict performance deviations from thresholds (exceeding or falling below). Rather than presenting all performance data with equal weight, the system provides partial coverage with enhanced detail for critical performance areas while summarizing or minimizing nominal performance visualizations. This selective emphasis maintains comprehensive data availability while improving decision-making ease by highlighting what matters most.
3Measurement precision
If manual methods are used to create business performance visualizations, then data accuracy is maintained, but the process becomes manually intensive and not easily undertaken
Solution Approach 1:
The patent implements self-service by enabling the business performance visualization system to automatically generate, sequence, and organize storyboard frames without manual intervention. The system self-manages the entire visualization creation process: it retrieves business performance data, generates appropriate visualizations, sequences them into frames, allocates portions based on performance significance, and assembles the complete storyboard. This automation maintains measurement precision through systematic data processing while dramatically improving productivity by eliminating manual intensive tasks.
Solution Approach 2:
The patent replaces the mechanical manual process of creating business performance visualizations with an automated computer-based system. Instead of manually gathering data, creating charts, sequencing frames, and organizing visualizations, the system uses computational mechanisms to perform all these tasks automatically. This substitution maintains data accuracy through systematic processing while vastly improving efficiency, allowing comprehensive business performance analysis to be undertaken easily and rapidly.
Data Source
AI summary
A storyboard generation method includes defining and persisting a template specifying a collection of visualizations in a storyboard, each visualization being generated based upon different data objects in an enterprise application for a business and each reflecting a performance aspect of the business. The method additionally includes partitioning the template into frames of a sequence and generating the storyboard by creating each of the visualizations based upon data objects of the enterprise application and allocating in the storyboard, a larger portion for visualizations that reflect an excess of performance beyond a threshold level and visualizations that reflect a dearth of performance below a threshold level, and a smaller portion for visualizations that reflect nominal performance. Finally, the method includes formatting the storyboard as a slideshow with each slide corresponding to one of the frames and saving the storyboard into fixed storage of the computer for subsequent playback.