Item Level Data Aggregation System for Personal Information Management
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Solution Overview
Problem
Users face difficulties in managing and accessing their personal data as it becomes increasingly scattered across different service providers, leading to issues with data loss or inaccessibility due to service failures or data expiration.
Innovation Solution
A system and method for item-level data aggregation, utilizing trusted hardware devices and backend servers to identify and download item-level data from third-party services using electronic credentials, allowing users to access and display their data in a centralized manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is stored across multiple third-party services, then data accessibility and service functionality are improved, but data management complexity and risk of data loss increase
Solution Approach 1:
The patent segments data management into two distinct layers: (1) third-party services that store and manage specific data types, and (2) a personal data aggregation system that collects, organizes, and manages metadata about data across services. This segmentation allows users to access data through a unified interface while maintaining the benefits of distributed storage, resolving the contradiction between data accessibility and management complexity.
Solution Approach 2:
The personal data aggregation system acts as an intermediary between users and multiple third-party services. It maintains a centralized repository of data metadata and provides a unified access point, allowing users to manage data across services without directly interacting with each service individually. This intermediary layer simplifies data management while preserving access to diverse data sources.
2Ease of operation
If data is stored in centralized locations, then data management is simplified, but data accessibility and service reliability deteriorate
Solution Approach 1:
The system segments data storage and management functions across multiple independent third-party services rather than consolidating everything in a single centralized location. Each service maintains its own data storage and management capabilities, ensuring service independence and reliability. The personal data aggregation system provides simplified management through a unified interface without creating a single point of failure.
Solution Approach 2:
The patent changes the management parameter from centralized control to distributed control with centralized metadata. Data is stored distributed across services while metadata about the data is centralized in the aggregation system. This parameter change allows simplified data management through the aggregation interface while maintaining the reliability benefits of distributed storage.
3Loss of information
If detailed item-level data is collected from all transactions, then data completeness and user control are improved, but data processing time and system complexity increase
Solution Approach 1:
The patent extracts and collects only essential metadata about transactions and data from third-party services, rather than collecting complete detailed data. The aggregation system retrieves key information such as transaction identifiers, data types, and access information, maintaining data completeness for management purposes while significantly reducing processing time and system complexity compared to collecting full detailed data.
Data Source
AI summary
Apparatuses, systems, methods, and computer program products are disclosed for item level data aggregation. A method includes identifying a transaction made with a third party within a set of transactions. A method includes using electronic credentials for a user to login to an account of the user at a third party. A method includes downloading item-level data from a third party that corresponds to an identified transaction in response to logging into a user's account at a third party. Item-level data identifies one or more items within an identified transaction. A method includes displaying a set of transactions to a user. A method includes displaying item-level data for one or more items within an identified transaction to a user in response to receiving input from the user relative to the identified transaction in a displayed set of transactions.