Adaptive Data Visualization Filter Pane for Business Warehouse
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Solution Overview
Problem
Existing Business Information Warehouse systems lack efficient methods for users to filter and analyze large amounts of business intelligence data, limiting the ability to derive meaningful insights from complex datasets.
Innovation Solution
An interactive web browser with adaptive filtering capabilities is implemented, allowing users to define filtering parameters through a customizable filter pane, which triggers specific actions and displays filtered results in real-time, using adaptive filters and algorithms to refine data from a Business Warehouse database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional reporting tools are used to access Business Warehouse data, then data can be viewed in discrete areas, but users cannot efficiently filter or analyze large amounts of data to derive meaningful insights
Solution Approach 1:
The filter bar is divided into multiple independent filter items, each representing a different dimension or attribute of the data. Users can selectively apply filters to specific segments of data without affecting other areas, enabling efficient analysis of large datasets by breaking them down into manageable filtered views.
Solution Approach 2:
The system pre-configures filter items with relevant dimensions and attributes based on the data structure. When users access the Business Warehouse data, the filter bar is automatically populated with appropriate filtering options, eliminating the need for users to manually configure complex filter settings and enabling immediate data analysis.
2Loss of information
If comprehensive Business Warehouse data is provided to users, then complete information is available, but users cannot efficiently narrow down to meaningful results
Solution Approach 1:
The filter bar dynamically adjusts based on user interactions and data characteristics. As users apply filters, the system automatically updates the available filter options and refines the result set, maintaining data completeness while progressively narrowing down to meaningful insights through adaptive filtering.
Solution Approach 2:
The system provides real-time feedback as users apply filters, showing how each filter item affects the result set. This feedback mechanism helps users understand the impact of their filtering choices and guides them toward deriving meaningful insights from the comprehensive Business Warehouse data.
Data Source
AI summary
A method for adaptive data visualization includes accessing business intelligence data stored in a database, providing an interactive web browser having a filter pane and a result display pane, the filter pane containing a list of characteristics and/or key figures, receiving a user's selection of a parameter associated with the characteristics or the key figures, adaptively filtering the accessed data the selection, where the first selection triggers the adaptive filter to filter the data, displaying results of the adaptive filtering in the result display pane, receiving a second selection from among the parameters, adaptively filtering the accessed data based on the first selection and the second selection, the second selection triggering the adaptive filter, and modifying the displayed results based on the adaptive filtering results of the first and the second selections. A system to implement adaptive data visualization and a computer readable medium containing executable instructions are also described.