Profile Management System Connection Data Storage Optimization
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Solution Overview
Problem
Current systems inefficiently access and store connection data, leading to high computer resource requirements and reduced value of connection data, as they often do not track connection data early in the processing of a profile, and fail to effectively manage duplicate and referral leads.
Innovation Solution
A profile management system that efficiently stores and processes connection data by associating entities with tags in a database, allowing for real-time identification and generation of connection data, and prioritizing leads based on attributes, duplicates, referrals, and company connections, minimizing resource utilization and maximizing lead value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If connection data is stored as individual data for each entity, then detailed connection information can be maintained, but computer resource requirements and processing utilization increase significantly
Solution Approach 1:
The patent merges connection data into a centralized connection table rather than storing it as individual data for each entity. This allows the system to maintain detailed connection information while reducing redundant storage and processing resources, as connection data is shared across multiple entities rather than duplicated.
Solution Approach 2:
The patent introduces a connection table as an intermediary structure between entities and their connection data. This intermediary layer allows efficient access to connection information without requiring individual storage for each entity, thereby reducing computer resource requirements while preserving data detail.
2Device complexity
If connection data is not tracked early in profile processing, then system complexity is reduced, but the overall value of connection data is reduced
Solution Approach 1:
The patent performs connection data tracking and processing early in the profile processing pipeline, specifically when profiles are created or updated. This preliminary action ensures connection data is captured and processed at the most effective point, maximizing its value while maintaining manageable system complexity through structured processing steps.
3Ease of operation
If duplicate and referral leads are not effectively managed, then lead processing simplicity is maintained, but lead conversion rates and system performance are reduced
Solution Approach 1:
The patent implements feedback mechanisms that automatically identify duplicate and referral leads by comparing profile attributes and connection data. This feedback loop enables the system to recognize and prioritize high-value leads without adding significant complexity, thereby improving conversion rates while maintaining operational simplicity.
Data Source
AI summary
The present disclosure describes systems and methods for generating a set of connection data indicating the connections between entities received by a profile management system. Connections may be automatically generated to indicate duplicate, referral, or company connections between one or more entities. Furthermore, the connection data may be used to predict the likelihood of particular outcomes in response to contacting an entity associate with a particular profile, distribution of profiles to appropriate entities, and prioritization of profiles for an entity.