Case Study 2 - Project Synopsis for
Streamlining PIA Process for Prominent Auto Manufacturer through Automation with OneTrust
Project Overview
Our client, as the automotive industry in China continues to evolve amidst technological advancements and increasing privacy regulations for Cybersecurity Law (CSL), Data Security Law (DSL), and the China Personal Information Protection Law (PIPL), it has become imperative for car manufacturers to ensure compliance while maintaining operational efficiency. Our project aims to streamline the Privacy Impact Assessment (PIA) and DPIA process through automation for our client, enabling smoother operations and enhanced data protection.
Deployment Approach and Challenges
The deployment approach for streamlining the Privacy Impact Assessment (PIA) process for Personal Information Protection Law (PIPL) compliance in a Chinese car manufacturer can be challenging:
Regulatory Complexity: The evolving regulatory landscape, including the introduction of PIPL in China, presents challenges in ensuring compliance and keeping pace with regulatory updates.
Data Complexity: Our client deals with vast amounts of sensitive customer data, including personal information, which adds complexity to the PIA process and requires robust data protection measures.
Integration Issues: Integrating the automated PIA system with their existing IT infrastructure and data management systems may pose technical challenges, such as compatibility issues and data migration concerns.
Change Management: Implementing automation initiatives often requires changes to established workflows and processes for their legal and business development teams, which may encounter resistance from employees accustomed to manual methods.
Data Security Risks: Automating the PIA process introduces potential security risks, such as data breaches or unauthorized access, which must be addressed through robust cybersecurity measures and encryption protocols.
Cultural Considerations: Cultural factors within the organization, such as attitudes towards technology adoption and data privacy, may impact the success of the automated PIA deployment and require careful management.
With our tailored-structuring deployment approach, our client can successfully streamline its PIA process, ensure compliance with CSL, DSL and PIPL regulations, and enhance data protection measures.
Outcome
Key outcomes and achievements of the consulting and implementation services with OneTrust for our client:
Reduced Processing Time:
Expect significant reduction in the time required to complete PIAs, allowing for quicker decision-making and project execution.
Increased Compliance:
Ensure adherence to privacy regulations and standards to PIPL, minimizing the risk of non-compliance and potential penalties.
Enhanced Data Security:
·Strengthen data protection measures and mitigate privacy risks through more thorough and consistent PIA assessments.
Improved Resource Allocation:
Shift valuable resources from manual PIA tasks to focus on higher-value activities, driving innovation and business growth.
Scalable Solution:
Develop a scalable automated PIA framework that can accommodate future expansion and evolving privacy requirements.
By automating the PIA process, our client can not only streamline operations and ensure compliance (data cross-border consideration) but also enhance data protection and drive sustainable growth in the dynamic automotive industry landscape of China. This project underscores our commitment to leveraging technology for operational excellence and advancing privacy best practices within the organization.