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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Data Management and Collaboration in PLM Systems
( 30 Modules )

Module #1
Introduction to PLM Systems
Overview of Product Lifecycle Management (PLM) systems, their importance, and benefits
Module #2
Data Management in PLM
Understanding data management concepts in PLM, including data models, data types, and data relationships
Module #3
Data Governance in PLM
Defining data governance policies, procedures, and best practices for PLM systems
Module #4
Collaboration Models in PLM
Introduction to collaboration models in PLM, including roles, responsibilities, and workflows
Module #5
Data Fusion and Integration
Methods for integrating data from multiple sources, including CAD, CAE, and ERP systems
Module #6
Data Enrichment and Validation
Techniques for enriching and validating data in PLM systems, including data cleansing and normalization
Module #7
Data Security and Access Control
Securing data in PLM systems, including access control, authentication, and authorization
Module #8
Data Backup and Recovery
Best practices for backing up and recovering data in PLM systems
Module #9
PLM System Architecture
Overview of PLM system architecture, including software, hardware, and network components
Module #10
Implementing Data Management in PLM
Step-by-step guide to implementing data management in PLM systems
Module #11
Configuring PLM Systems for Collaboration
Configuring PLM systems for collaboration, including workflow setup and permission management
Module #12
Collaborative Engineering in PLM
Best practices for collaborative engineering in PLM systems, including concurrent engineering and design reviews
Module #13
Change and Revision Management
Managing changes and revisions in PLM systems, including ECO and ECR processes
Module #14
Document Management in PLM
Managing documents in PLM systems, including document control and versioning
Module #15
Part and BOM Management
Managing parts and bills of materials (BOMs) in PLM systems, including part classification and BOM structures
Module #16
Data Analytics and Reporting in PLM
Using data analytics and reporting in PLM systems to support business decisions
Module #17
PLM System Integration with other Systems
Integrating PLM systems with other systems, including ERP, CRM, and CAD systems
Module #18
Best Practices for Data Management and Collaboration
Industry best practices for data management and collaboration in PLM systems
Module #19
Case Studies in Data Management and Collaboration
Real-world case studies of data management and collaboration in PLM systems
Module #20
Future Trends in PLM Data Management and Collaboration
Emerging trends and technologies in PLM data management and collaboration
Module #21
PLM System Selection and Implementation
Selecting and implementing a PLM system, including requirements gathering and ROI analysis
Module #22
PLM System Administration and Maintenance
Administering and maintaining PLM systems, including system updates and troubleshooting
Module #23
Data Migration and Upgrade Strategies
Strategies for migrating and upgrading data in PLM systems
Module #24
PLM System Customization and Configuration
Customizing and configuring PLM systems to meet business needs
Module #25
PLM System User Adoption and Training
Techniques for driving user adoption and providing training in PLM systems
Module #26
Measuring PLM System Success
Metrics and KPIs for measuring the success of PLM systems
Module #27
PLM System Roadmap and Strategy
Developing a roadmap and strategy for PLM system implementation and adoption
Module #28
PLM System Governance and Compliance
Ensuring governance and compliance in PLM systems, including regulatory requirements
Module #29
Data Quality and Integrity in PLM
Ensuring data quality and integrity in PLM systems, including data validation and cleansing
Module #30
Course Wrap-Up & Conclusion
Planning next steps in Data Management and Collaboration in PLM Systems career


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