Data Privacy Request Workflow Using Purpose-Based Work Packages
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems face challenges in efficiently handling data subject requests for data privacy integration across multiple applications, leading to high resource consumption and manual effort, while legal compliance with varying data protection legislation is complex and difficult to manage.
Innovation Solution
A centralized data privacy integration service automates the handling of data subject requests by using purpose-based processing and processing grounds, which are independent of specific legal bases, to streamline data management and reduce resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual processes are used to handle data subject requests across multiple applications, then flexibility in handling different legal bases is maintained, but resource consumption and manual effort increase significantly
Solution Approach 1:
A data privacy integration service is introduced as an intermediary between responder applications and data subject requests. This service receives requests, translates them into work packages with appropriate parameters, and coordinates the automated processing across multiple applications. The intermediary handles the complexity of integrating different legal bases and processing grounds, while responder applications focus on their specific data processing functions.
Solution Approach 2:
The system uses parameter-based work packages that can be dynamically configured based on the type of data subject request and applicable legal bases. Work package parameters are adjusted according to processing grounds (e.g., consent, legal obligation, legitimate interest), allowing the same automated framework to handle different legal requirements without manual intervention. This parameter-driven approach enables flexibility while maintaining automation.
2Productivity
If centralized manual coordination is used for data privacy requests, then compliance accuracy is maintained, but processing time and resource consumption increase
Solution Approach 1:
The system performs preliminary actions by pre-configuring processing grounds and their associated rules in the data privacy integration service. When a data subject request is received, the service automatically determines the applicable processing ground and configures the work package parameters accordingly, eliminating the need for manual review and coordination. This preliminary setup enables rapid automated processing while maintaining compliance accuracy.
Solution Approach 2:
Responder applications are empowered to process work packages autonomously based on the parameters provided by the data privacy integration service. Each application independently determines the purposes associated with its data objects and applies the appropriate processing ground rules without requiring manual coordination. This self-service capability dramatically reduces processing time while maintaining compliance through the structured work package framework.
3Reliability
If application-specific manual processes are used for each data privacy request, then adaptability to different legal bases is maintained, but consistency and reliability of compliance decrease
Solution Approach 1:
The data privacy integration service implements a universal work package framework that can handle different types of data subject requests (access, erasure, portability) and different processing grounds (consent, legal obligation, legitimate interest) through a single coordinated system. The work package structure is designed to be multi-functional, accommodating various legal bases and request types while maintaining consistent processing across all responder applications. This universality ensures reliable and consistent compliance without requiring separate manual processes for each application.
Data Source
AI summary
The present disclosure involves systems, software, and computer implemented methods for automating handling of data subject requests for data privacy integration protocols. One example method includes receiving a ticket for performing a data privacy integration protocol for a data subject. A work package that includes a work package parameter that is based on a ticket parameter is provided to responder applications. Processing of the work package by responder applications includes determining, for at least one object associated with the data subject, purposes associated with the object. The responder application determines, for each purpose, a purpose setting that corresponds to the work package parameter. The responder application processes the work package based on the work package parameter and the purpose settings and provides feedback to a data privacy integration service, which processes the feedback, to continue the data privacy integration protocol for the ticket.