Mashup Dashboard Widget Integration via Extraction
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Solution Overview
Problem
Businesses face challenges in rapidly creating, publishing, and sharing dynamic, enterprise mashup-driven dashboards that combine internal and external information sources without requiring custom coding or duplicating data, and existing solutions are often static and vendor-specific.
Innovation Solution
A computer system with a display interface and user input device that allows users to create mashup dashboards by dragging and dropping pre-defined mashups onto a canvas, storing the visual configuration, and applying security policies, enabling rapid creation and sharing of dashboards that support live data from multiple sources without data duplication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If businesses use traditional dashboard solutions, then data can be tracked and managed, but the solutions are static and require moving data into a central data store, reducing flexibility and increasing complexity
Solution Approach 1:
The patent extracts data from centralized storage and embeds it directly within dashboard widgets. Each widget contains its own data source configuration and rendering logic, eliminating the need to move data into a central data store. This allows dashboards to dynamically pull data from multiple external sources without complex ETL processes.
Solution Approach 2:
The dashboard is segmented into independent, configurable widgets that can be individually customized and configured. Each widget is a self-contained unit that can display different data types from various sources, allowing businesses to rapidly assemble dashboards by selecting and configuring individual widgets rather than building entire dashboard systems from scratch.
2Productivity
If businesses create custom mashup dashboards, then dynamic data integration is achieved, but rapid creation and sharing capabilities are lacking without no-code visual environments
Solution Approach 1:
The system provides self-service capabilities through a no-code visual editor that enables business users to create, configure, and publish mashup dashboards independently without requiring programming skills or IT intervention. Users can drag-and-drop widgets, configure data sources, and customize displays through intuitive graphical interfaces, empowering them to rapidly create dashboards tailored to their specific needs.
Solution Approach 2:
Pre-configured template widgets are provided that contain common data visualizations and configurations already established. These templates can be quickly selected and customized for specific use cases, eliminating the need to build dashboards from scratch and significantly accelerating the creation process while maintaining consistency and best practices.
3Reliability
If businesses implement access control policies, then security is improved, but user-level access control flexibility is reduced without granular policy management
Solution Approach 1:
Access control policies are applied at the individual widget level rather than uniformly across the entire dashboard. Each widget can have its own security attributes and access restrictions defined, allowing different portions of the dashboard to have different security requirements. This enables granular control where sensitive data widgets can be restricted to specific user roles while other widgets remain broadly accessible.
4Adaptability or versatility
If businesses use vendor-specific solutions, then product integration is simplified, but cross-platform compatibility and openness are reduced
Solution Approach 1:
The dashboard system is designed with universal, platform-agnostic architecture that can integrate with multiple data sources and deployment environments. The widgets use standardized data binding and configuration formats that work across different platforms and data sources, eliminating vendor lock-in while maintaining ease of integration. The system can deploy dashboards to various targets including web browsers, mobile devices, and enterprise portals without requiring platform-specific adaptations.
Data Source
AI summary
A system, computer-readable medium, and computer-implemented method for using a mashup dashboard can include retrieving a mashup dashboard from a repository, and providing a display of the retrieved mashup dashboard that recreates a visual configuration pre-defined in the stored mashup dashboard. The visual configuration includes a pre-defined mashup executing therein to provide live data from the mashup. The mashup dashboard can be created, by providing a listing of pre-defined mashups and a canvas, the pre-defined mashups being stored in a repository; interacting with the user to define a visual configuration of the canvas and to drag and drop one of the pre-defined mashups from the listing onto the canvas; and storing the visual configuration of the canvas with the pre-defined mashup as a mashup dashboard, for later retrieval to recreate the visual configuration with the pre-defined mashup executing therein.