Adaptive Business Analytics Transformation for Readability
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Solution Overview
Problem
Business analytic artifacts such as dashboards, reports, and charts become distorted when transformed for display on different devices, such as desktops and mobile devices, due to variations in screen size, resolution, and aspect ratio.
Innovation Solution
A computer-implemented method that extracts features from a business analytic artifact, determines constraints based on the target device, performs a heuristic-based search to identify a transformed representation that satisfies the constraints and maximizes readability, and selects the transformed representation with the highest score for display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If business analytic artifacts are transformed for display on different devices, then the artifact can be displayed on various screen sizes and resolutions, but the artifact becomes distorted
Solution Approach 1:
The patent applies dynamics by making the transformation process adaptive rather than static. The system dynamically adjusts transformation parameters based on the target device characteristics (screen size, resolution, aspect ratio) and evaluates multiple possible transformations using a scoring mechanism. This allows the artifact to be optimally adapted to each specific display context while maintaining visual fidelity through the readability maximization process.
Solution Approach 2:
The patent changes multiple parameters simultaneously to resolve the contradiction. It transforms spatial parameters (width, height, aspect ratio) to fit different devices while using a scoring function to monitor and optimize visual fidelity parameters (readability, constraint satisfaction). The heuristic search explores parameter space to find transformations that balance adaptability with visual quality.
2Ease of operation
If the artifact is transformed to fit specific device constraints, then readability is maximized, but the transformation process becomes complex
Solution Approach 1:
The system applies self-service by automatically performing the complex transformation process without requiring manual intervention. The heuristic search algorithm autonomously evaluates multiple transformations, scores them based on readability and constraint satisfaction, and selects the optimal transformation. This automation handles the complexity internally while presenting a simple solution to the user.
Solution Approach 2:
The patent implements feedback through the scoring mechanism that evaluates each transformation candidate. The score provides feedback on how well a transformation satisfies constraints and maximizes readability, guiding the heuristic search toward optimal solutions. This feedback loop enables the system to navigate the complex transformation space systematically while ensuring high readability outcomes.
Data Source
AI summary
A computer-implemented method, system and computer program product for generating a visual transformation of a business analytic artifact. Features from a received business analytic artifact (e.g., dashboard) are extracted. Furthermore, constraints are determined for a transformed representation of the business analytic artifact. A heuristic-based search is then performed on a space of possible transformed representations of the business analytic artifact using the extracted features to identify a transformed version that satisfies the determined constraints and maximizes readability. A final score is then generated for each possible transformed representation of the business analytic artifact based on the extent that the transformed version satisfies the determined constraints and maximizes the readability. The transformed representation of the business analytic artifact that has the highest score is selected and displayed on the target device. In this manner, meaningful transformations of business analytic artifacts are generated and displayed on a computing device with minimal distortion.