Dashboard Interface Data Reconciliation With Drill-Down Cards
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Solution Overview
Problem
Conventional user interfaces require extensive horizontal scrolling and manual data aggregation, obscuring relevant information and making it difficult to compare and correlate data values, especially in large datasets like human resources compensation data.
Innovation Solution
A dashboard interface with vertically arranged tabs for categorical processing steps, allowing data retrieval and aggregation across multiple database tables, displayed as horizontally arranged cards with progressive visualizations that enable users to drill-down into data details.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is displayed in disparate columns of multiple column grids, then comprehensive data coverage is achieved, but horizontal scrolling is required which obscures relevant information and makes data comparison difficult
Solution Approach 1:
The patent transforms the traditional horizontal scrolling interface into a vertical stacking interface. Instead of arranging data columns horizontally requiring scrolling, the patent stacks multiple data visualizations vertically on the screen. This dimensional change allows comprehensive data coverage to be achieved without horizontal scrolling, making all data immediately visible and accessible without obscuring relevant information.
Solution Approach 2:
The patent divides the comprehensive dataset into multiple discrete visualizations or cards that are stacked vertically. Each card represents a segment of the overall data structure, allowing users to view complete data coverage through vertical arrangement rather than horizontal scrolling. This segmentation maintains data comprehensiveness while improving accessibility by eliminating the need to scroll horizontally.
2Loss of information
If comprehensive compensation data with numerous parameters is displayed, then complete information availability is achieved, but the user must scroll tables making comparison between different data values more difficult
Solution Approach 1:
The patent reorganizes comprehensive compensation data from a horizontal table layout into vertical stacked visualizations. This allows complete information availability across all compensation parameters to be displayed without requiring horizontal scrolling. Users can compare different data values across multiple visualizations simultaneously visible on screen, significantly reducing the time needed to compare compensation data across different employees or time periods.
Solution Approach 2:
The patent combines multiple data visualizations into a unified vertical stack that presents comprehensive compensation information in an integrated view. By merging related visualizations and arranging them vertically, the system allows users to access complete information across all compensation parameters while maintaining the ability to quickly compare values across different segments of the stacked visualizations without scrolling.
3Adaptability or versatility
If multiple columns of data are displayed to show old data, new data, and comparative data, then comprehensive data comparison capability is achieved, but columns on the far-right side are hidden under horizontal scroll
Solution Approach 1:
The patent transforms the horizontal arrangement of multiple data columns into a vertical stack of visualizations. This allows comprehensive data comparison capability across old data, new data, and comparative data to be achieved without hiding any columns under horizontal scroll. All data segments are visible simultaneously in the vertical arrangement, eliminating information loss while maintaining versatile comparison capabilities.
Solution Approach 2:
The patent segments comprehensive compensation data into multiple discrete visualizations that are stacked vertically. Each segment represents a specific data comparison view (old data, new data, comparative data), and all segments are simultaneously visible without requiring horizontal scrolling. This segmentation maintains complete data visibility while preserving the ability to compare across all data types.
Data Source
AI summary
A method, apparatus, system, and computer program code for data reconciliation and task processing implemented in a dashboard interface. A dashboard interface is displayed having a number of tabs that correspond to categorical processing steps for the task, vertically arranged along an edge of the dashboard. The number of tabs include at least an overview tab, a configuration tab, a reconciliation tab, and a transaction tab. A number of selectable parameters are retrieved selected from the configuration tab. Data is aggregated and processed across multiple database tables according to the selected parameters. The aggregated data is displayed on the dashboard interface as a series of cards arranged horizontally according to a logical sequence of user interactions. At least one card includes a visualization of the aggregated data that is displayed in a progressive format that enables a user to drill-down into data details of a selected segment of the visualization.