Embedding Headless Browser in Messaging App for Analytics
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Solution Overview
Problem
Existing data analytics systems are cumbersome for users to navigate and share insights, requiring switching between applications and involving complex export procedures, which hinders efficient intra-company communication and collaboration.
Innovation Solution
Integrating data analytics into communications applications, allowing users to generate and share analytic asset images within the communications platform without switching, using a headless browser to execute data analytics tasks and provide real-time updates and notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users switch between communications application and data analytics application to generate and share reports, then access to data analytics functionality is achieved, but user efficiency decreases and computational load increases
Solution Approach 1:
The patent combines the data analytics application functionality with the communications application by embedding a headless browser within the communications application. This allows the communications application to execute data analytics tasks and generate reports internally without requiring users to switch to a separate data analytics application, thereby merging two previously separate workflows into one unified interface.
Solution Approach 2:
The headless browser acts as an intermediary component that enables the communications application to access and execute data analytics functionality. The headless browser serves as a mediator between the communications application's user interface and the data analytics processing requirements, allowing report generation to occur seamlessly within the communications context.
2Reliability
If full data analytics application is executed to generate reports, then comprehensive data analysis is achieved, but computational load on user's computing device increases
Solution Approach 1:
The patent extracts only the essential data analytics functionality needed for report generation and executes it through a headless browser within the communications application. Rather than requiring the full data analytics application with its complete UI and associated computational overhead, the system extracts and executes only the necessary analytical operations, reducing the computational load on the user's device while maintaining data analysis accuracy.
Data Source
AI summary
The various implementations described herein include methods and devices for using a messaging system to analyze and distribute data analytics. In one aspect, a method includes displaying a user interface for a communications application, the user interface including a dashboard display area for a group of users. In response to a user input, display of the dashboard display area is replaced with a view corresponding to a data analysis application. The data analysis application is separate from the communications application, and the view corresponding to the data analysis application provides access to reports generated, using credentials of a user of the communications application, without user input to execute or open the data analysis application. A second user input is received requesting to share a report with the selected group of users, and in response, the report is published to the dashboard display area for the selected group of users.


