Rapid Thumbnail Generation for Business Intelligence Dashboards
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Solution Overview
Problem
Business intelligence dashboard systems face significant delays in rendering thumbnail images due to the need to query multiple underlying data sources, which can take several seconds to minutes, making it inefficient for users to quickly navigate and understand the content of multiple dashboards.
Innovation Solution
Generating thumbnail images that represent the content of business intelligence dashboards using stock images that match the formatting and data representation features, without querying the underlying data sources, allowing for rapid rendering and intuitive user navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If thumbnail images are generated by querying underlying data sources, then the thumbnails accurately represent the dashboard content, but the generation time increases significantly
Solution Approach 1:
The patent creates visual copies of dashboard elements (charts, graphs, tables) using standardized image templates that replicate the appearance and layout of actual dashboard content without querying the underlying data sources. These copied visual representations provide sufficient information for users to identify dashboard content while eliminating the time-consuming data retrieval process.
Solution Approach 2:
The system pre-generates thumbnail images when dashboards are created or modified, storing these thumbnails for rapid retrieval. This preliminary action ensures that when users navigate to the dashboard list, thumbnails are already available without requiring real-time data queries, thus resolving the time-accuracy tradeoff.
2Speed
If thumbnail images are generated rapidly without querying data sources, then navigation speed improves, but the informational content of thumbnails may be reduced
Solution Approach 1:
The patent applies different levels of detail to different regions of the thumbnail image. Critical areas such as chart types, data labels, and key visual elements are rendered with high quality and detail, while less important background areas use simpler representations. This ensures that the most informative elements are preserved even in the rapid generation process.
Solution Approach 2:
The system uses color coding and visual differentiation in thumbnails to convey important information quickly. Different chart types, data categories, and dashboard sections are represented with distinct color schemes and visual patterns, allowing users to rapidly comprehend the content and structure of dashboards through visual cues without detailed data analysis.
Data Source
AI summary
In one example, a method includes identifying a plurality of data representation features comprised in each of one or more dashboards. The method further includes identifying formatting data for a format of the data representation features in each of the one or more dashboards. The method further includes generating one or more thumbnail images corresponding to each of the one or more dashboards, wherein each of the one or more thumbnail images comprises a plurality of stock images representative of a corresponding one of the data representation features in the corresponding dashboard, in a format that represents the format of the corresponding dashboard.