User Profile Data Repository Automation
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Solution Overview
Problem
The large volume of data from Internet users' communications and data consumption is difficult for analysts to process manually, necessitating more efficient systems and methods for visualization, manipulation, and export of data.
Innovation Solution
A computer-implemented system and method for analyzing electronic communications, which includes receiving and analyzing data from various sources, determining locations and relationships, and generating a graphical user interface to visualize and manipulate the data for efficient consumption and export.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual analysis methods are used to process user communication data, then analysis accuracy can be maintained, but the processing time and resource requirements become prohibitively large due to the volume of data
Solution Approach 1:
The patent introduces automated analysis software as an intermediary between the raw communication data and the analyst. This software intermediary automatically processes large volumes of data, performs initial filtering and organization, and presents refined results to analysts, thereby dramatically improving processing efficiency while maintaining analysis quality
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational systems. Software algorithms automatically perform data collection, processing, and initial analysis tasks that would be time-consuming to perform manually, freeing analysts to focus on higher-level interpretation and decision-making
2Loss of information
If comprehensive data collection from multiple communication sources is implemented, then the completeness of user profile information improves, but the complexity of data management and processing increases
Solution Approach 1:
The patent implements a universal data management platform that can handle multiple types of communication data (emails, social media, messaging) through a single integrated system. This multi-functional platform provides consistent processing, storage, and analysis capabilities across diverse data sources, reducing overall system complexity while maintaining comprehensive data collection
Solution Approach 2:
The patent segments the complex data management process into distinct modular components: data collection modules for different sources, processing modules for specific data types, and analysis modules for various analytical tasks. This segmentation allows each component to be optimized independently and simplifies the overall management of comprehensive data
3Measurement precision
If detailed user communication data is collected and stored, then the quality of market analysis improves, but the storage requirements and data security challenges increase
Solution Approach 1:
The patent extracts only the most relevant and valuable data elements from comprehensive communication datasets for storage and detailed analysis. By identifying and extracting key information such as communication patterns, relationship networks, and topic interests, the system maintains high analysis precision while reducing storage requirements for complete raw data
Solution Approach 2:
The patent applies different quality standards to different portions of the data based on their analytical value. High-priority data elements that directly impact market analysis precision are stored in detailed, structured formats, while less critical data is stored in summarized or aggregated forms, optimizing the balance between analysis quality and storage efficiency
Data Source
AI summary
A computer accesses, from a data repository, profile data of a first entity. The computer determines that a set of information items from the accessed profile data of the first entity are associated with a target activity. The computer determines that the set of information items associated with the target activity includes a subset of information items associated with a second entity. The computer creates or edits, within the data repository, profile data of the second entity based on the subset of information items. The computer provides a digital transmission of at least a portion of the profile data of the second entity.