Secure Data Collection via Distributed Segmentation
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Solution Overview
Problem
Conventional data collection systems face challenges in efficiently gathering relevant information across diverse geographical locations, multiple production environments, and various organizations within a company, especially under time constraints, due to complexity, volume, and the need to handle sensitive and historical data, while also being cost-effective and secure.
Innovation Solution
A data collection system that identifies and collects data at the point of release, storing it in a centralized and certified archive, allowing for secure and controlled access, and flexible supplementation with additional data as needed, without disrupting the company's operations or requiring specialized tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is collected across multiple geographical locations and production environments, then data completeness is improved, but system complexity increases
Solution Approach 1:
The patent segments the data collection system into multiple independent collectors distributed across different geographical locations and production environments. Each collector operates autonomously to gather data from its local environment, reducing the complexity of centralized coordination while ensuring comprehensive data collection across the entire organization.
Solution Approach 2:
The patent introduces a centralized archive server as an intermediary that receives data from multiple distributed collectors. This intermediary consolidates data from diverse sources into a unified storage location, simplifying data management while maintaining completeness by aggregating information from all geographical locations and production environments.
2Productivity
If data collection is performed under tight time constraints, then productivity is improved, but data accuracy deteriorates
Solution Approach 1:
The patent implements preliminary actions by collecting data at the point of creation or release, rather than attempting to gather all data later during litigation or audit processes. This ensures that data is captured immediately when it becomes relevant, maintaining both speed and accuracy by preventing data loss or modification that could occur during delayed collection.
Solution Approach 2:
The patent enables continuous data collection operation across multiple production environments without disrupting normal business processes. The distributed collectors operate continuously in the background, constantly capturing data as it is created or released, ensuring both timely collection and complete data accuracy without requiring system shutdowns or interruptions.
3Device complexity
If a centralized data collection system is implemented, then data management is simplified, but operational freedom is reduced
Solution Approach 1:
The patent segments data collection responsibilities across multiple independent collectors distributed throughout the organization. Each collector operates autonomously without requiring centralized control, maintaining operational freedom while the centralized archive provides simplified data management through aggregation and standardized storage protocols.
Solution Approach 2:
The distributed collectors operate as self-service components that automatically identify, capture, and transmit data to the centralized archive without requiring manual intervention or complex centralized coordination. This self-service approach preserves operational freedom at local levels while achieving simplified data management through the automated consolidation process.
4Loss of information
If historical data from multiple product versions is collected, then data completeness is improved, but storage requirements increase
Solution Approach 1:
The patent segments data storage by organizing historical data from multiple product versions into separate, structured categories within the centralized archive. This segmentation allows efficient storage and retrieval of specific product version data, reducing the practical storage burden while maintaining completeness across all historical versions.
Solution Approach 2:
The patent implements preliminary data categorization and structuring at the point of collection, organizing historical data into standardized formats and categories before storage. This preliminary organization reduces the storage volume required by eliminating redundancy and creating efficient data structures that facilitate compact storage while preserving complete historical information.
Data Source
AI summary
The system may provide for the collection of data in a heterogeneous network, long term secure storage of the data, and secure transfer of the data to an environment that may be secure and controlled for the purpose of controlled and secure selected viewing of all or parts of the data. The data stored may include core data of interest as well as any data that is associated with the core data. The core data and associated data may be stored. To do so, the system may identify and collect associated data at the point of release of all or part of the data. Further, the system may provide secure and controlled transfer of the data to a permanent and secure media. Lastly, the system may provide secure transfer of all or parts of the data from the media to a controlled and secure environment suitably constructed to provide for secure viewing of all or parts of the data under the control of the owner of the data.