Description

Introduction
Effective data governance is critical in Agile Product Lifecycle Management (PLM) as it ensures the integrity, accuracy, and compliance of product data throughout its lifecycle. This course focuses on establishing robust data governance frameworks that enhance product data management, mitigate risks, and ensure regulatory compliance. Participants will learn best practices and strategies to implement data governance policies, maintain data quality, and support decision-making processes in Agile PLM environments.

Prerequisites

• Basic understanding of Agile PLM concepts
• Familiarity with data management principles
• Experience in data analysis or compliance roles

Table of Contents

1. Introduction to Data Governance in Agile PLM
   1.1 Definition and Importance of Data Governance
   1.2 Key Components of Data Governance in PLM
   1.3 Benefits of Effective Data Governance(Ref: Getting Started with Agile Product Lifecycle Management (PLM))
2. Data Governance Framework
   2.1 Establishing a Data Governance Framework for PLM
   2.2 Roles and Responsibilities in Data Governance
   2.3 Creating Data Governance Policies and Procedures
3. Data Quality Management
   3.1 Understanding Data Quality Dimensions
   3.2 Implementing Data Quality Metrics and KPIs
   3.3 Techniques for Ensuring Data Accuracy and Consistency
4. Data Integrity in Agile PLM
   4.1 Ensuring Data Integrity Throughout the Product Lifecycle
   4.2 Strategies for Managing Data Changes and Updates
   4.3 Implementing Version Control and Audit Trails
5. Regulatory Compliance
   5.1 Overview of Relevant Regulations and Standards
   5.2 Ensuring Compliance with Industry Standards
   5.3 Strategies for Managing Compliance Risks
6. Data Classification and Access Control
   6.1 Classifying Product Data for Effective Management
   6.2 Implementing Access Controls and Permissions
   6.3 Best Practices for Data Security and Privacy
7. Training and Awareness Programs
   7.1 Developing Data Governance Training for Employees
   7.2 Creating Awareness Around Data Governance Policies
   7.3 Engaging Stakeholders in Data Governance Initiatives
8. Data Governance Tools and Technologies
   8.1 Overview of Tools for Data Governance in PLM
   8.2 Evaluating Data Management Solutions
   8.3 Integrating Data Governance Tools with Agile PLM Systems
9. Case Studies
   9.1 Analyzing Successful Data Governance Implementations
   9.2 Lessons Learned from Industry Leaders
   9.3 Applying Best Practices to Your Organization
10. Future Trends in Data Governance
    10.1 Emerging Trends in Data Governance and Compliance
    10.2 The Role of AI and Automation in Data Governance
    10.3 Preparing for Future Data Governance Challenges

Conclusion
This course equips participants with the necessary skills to implement effective data governance practices in Agile PLM. By managing product data integrity and compliance, organizations can enhance decision-making, reduce risks, and ensure regulatory adherence. Establishing a robust data governance framework is essential for supporting innovation and maintaining competitive advantage in today’s data-driven environment.

Reference