DSAR Prioritization via Metadata Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems are inadequate for efficiently processing and fulfilling data subject access requests within the required timelines, especially for large corporations with data stored across multiple platforms, due to the complexity of managing personal data across numerous data assets and processing activities.
Innovation Solution
A data subject access request processing and fulfillment system that adjusts prioritization levels based on metadata associated with the request, such as the type of request, location, and data processing conditions, to optimize resource allocation and processing time, using a graphical user interface to display the updated order and status of requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored across multiple platforms and locations in large corporations, then data storage capacity and accessibility are improved, but the complexity of managing personal data and fulfilling data subject access requests increases
Solution Approach 1:
The patent segments the data management system into multiple components including data inventories, data assets, data processing activities, and a central processing system. Each component handles specific aspects of data management, allowing the system to scale across multiple platforms while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent introduces a central processing system that acts as an intermediary between data subjects and the distributed data storage infrastructure. This intermediary receives access requests, processes them through metadata analysis, and coordinates fulfillment across multiple data platforms, thereby managing the complexity of cross-platform data access.
2Ease of operation
If traditional systems process data subject access requests without prioritization, then all requests are handled uniformly, but the time required to fulfill requests exceeds regulatory deadlines
Solution Approach 1:
The patent implements dynamic prioritization where request priority levels are not fixed but adjusted in real-time based on metadata analysis. The system continuously evaluates factors such as data sensitivity, request type, and processing conditions to dynamically reorder the fulfillment queue, ensuring that urgent requests are processed first while maintaining flexibility in handling uniform requests.
Solution Approach 2:
The patent changes the parameter of request priority from a static uniform value to a dynamic variable based on multiple metadata parameters. By analyzing metadata such as data classification, request urgency, and processing complexity, the system adjusts priority levels to optimize fulfillment time while maintaining fair and systematic handling of all requests.
3Productivity
If metadata analysis is used to adjust prioritization levels, then processing efficiency and compliance are improved, but the computational resources and processing time required increase
Solution Approach 1:
The patent applies partial metadata analysis by focusing on the most critical metadata fields relevant to prioritization decisions rather than analyzing all available metadata. This selective approach extracts only the essential information needed for priority adjustment, reducing computational overhead while maintaining effective request prioritization and compliance.
4Device complexity
If requests are processed in a fixed queue order, then system simplicity is maintained, but the ability to meet regulatory deadlines and respond to urgent requests is reduced
Solution Approach 1:
The patent transforms the static fixed queue into a dynamic priority-based queue that automatically reorders requests based on real-time metadata analysis. This dynamic approach maintains system simplicity through automated processing rules while significantly improving reliability by ensuring that urgent and compliant requests are fulfilled within regulatory deadlines.
Data Source
AI summary
A Data Subject Access Request (DSAR) Prioritization System, according to various embodiments, is adapted for (1) executing the steps of receiving a data subject access request (DSAR); (2) at least partially in response to receiving the DSAR, obtaining metadata associated with at least one of the DSAR or a data subject associated with the DSAR; (3) using the metadata to determine whether a priority of the DSAR should be adjusted based at least in part on the obtained metadata; and (4) in response to determining that the priority of the DSAR should be adjusted based at least in part on the obtained metadata, adjusting the priority of the DSAR.