Declarative Visualization Queries for Real-Time Data Exploration
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Solution Overview
Problem
Existing systems do not provide real-time business analytics for large volumes of data, limiting businesses' ability to make informed decisions through live data rendering and flexible data analysis.
Innovation Solution
A platform for ultra-fast, ad-hoc data exploration and faceted navigation on integrated, heterogeneous data sets using declarative specification of visualization queries, allowing for live data rendering on a live dashboard with animated informational morphing replay and flexible display options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real-time data analysis is implemented for large volumes of data, then business decision-making capability is improved, but system processing speed and performance deteriorate
Solution Approach 1:
The patent segments the data analysis process into multiple independent components: faceted navigation filters, visualization queries, and result rendering. Each facet (e.g., date, category, region) operates as an independent filter that can be applied and removed without reprocessing the entire dataset, enabling real-time analysis of large volumes of data while maintaining system responsiveness.
Solution Approach 2:
The system performs preliminary actions by pre-computing and storing aggregated data at multiple levels of granularity. When a user applies faceted filters, the system retrieves pre-computed results rather than recalculating from raw data, significantly reducing processing time and enabling real-time interactive analysis of large datasets.
2Loss of time
If live data rendering is provided on dashboard, then data presentation timeliness is improved, but system resource consumption increases
Solution Approach 1:
The system applies local quality by rendering only the specific data portions that match the current faceted filter criteria, rather than rendering the entire dataset. When users navigate through facets, the system updates only the relevant visualization segments, reducing computational resource consumption while maintaining live data presentation timeliness.
Solution Approach 2:
The system creates simplified copies of data at aggregated levels for display purposes. Instead of rendering raw detailed data, the system generates condensed visual representations that capture essential patterns and trends, reducing processing requirements while delivering timely insights for business decision-making.
3Adaptability or versatility
If flexible display options and animated morphing are added, then user interaction and visualization quality are improved, but system complexity increases
Solution Approach 1:
The system implements dynamic visualization where charts and graphs can morph between different types and configurations based on user interaction and data characteristics. The animated transitions between visualization states provide intuitive feedback while the underlying system manages complexity through standardized transformation routines that reuse existing rendering engines rather than implementing separate complex systems for each visualization type.
Data Source
AI summary
The technology disclosed relates to a platform for ultra-fast, ad-hoc data exploration and faceted navigation on integrated, heterogeneous data sets. The disclosed method of declarative specification of visualization queries, display formats and bindings represents queries, widgets and bindings combined on a dashboard in real time, with flexible display options for analyzing data and conveying analysis results.