Description

Introduction
This course is designed to equip professionals with the skills needed to leverage Teamcenter’s powerful reporting and analytics tools for data-driven insights in Product Lifecycle Management (PLM). Participants will explore how to create custom reports, use built-in analytics features, and gain actionable insights from PLM data to improve decision-making and optimize processes. The course is ideal for users who want to extract meaningful data from Teamcenter to enhance product development and management.

Prerequisites

• Basic knowledge of Teamcenter and its core modules
• Familiarity with PLM concepts and product data management
• Understanding of basic reporting and analytics concepts

Table of Contents

1. Introduction to Reporting and Analytics in Teamcenter
1.1 Overview of Reporting and Analytics in Teamcenter
1.2 Benefits of Data-Driven Insights in PLM
1.3 Key Reporting and Analytics Features in Teamcenter
1.4 Understanding Teamcenter’s Data Structure for Reporting

2. Teamcenter Reporting Tools Overview
2.1 Teamcenter Query Builder
2.2 Teamcenter Business Intelligence (BI) Tools Integration
2.3 Using Teamcenter Reporting Workbench
2.4 Report Designer and Custom Reports

3. Creating Basic Reports in Teamcenter
3.1 Creating Simple Queries and Reports
3.2 Filtering and Sorting Data for Better Insights
3.3 Configuring Report Outputs: Tables, Graphs, and Charts
3.4 Exporting and Sharing Reports

4. Advanced Reporting Techniques
4.1 Building Complex Reports with Multiple Data Sources
4.2 Aggregating and Grouping Data for Summarized Insights
4.3 Using Calculated Fields and Metrics in Reports
4.4 Customizing Report Layouts and Formats

5. Integrating Teamcenter with Business Intelligence (BI) Tools
5.1 Overview of BI Tools Integration with Teamcenter
5.2 Connecting Teamcenter Data to External BI Platforms (e.g., Power BI, Tableau)
5.3 Visualizing Teamcenter Data in BI Tools
5.4 Leveraging BI Dashboards for PLM Insights

6. Analytics for Product Development and Change Management
6.1 Tracking Product Lifecycle Metrics and KPIs
6.2 Analyzing Product Data for Design Optimization
6.3 Monitoring Change Management Metrics and Approvals
6.4 Using Analytics for Decision Support in Product Development

7. Advanced Analytics in Teamcenter
7.1 Predictive Analytics for Product Lifecycle Optimization
7.2 Leveraging Machine Learning for PLM Insights
7.3 Integrating External Data for Enhanced Analytics
7.4 Real-Time Data Analytics for Immediate Insights

8. Workflow and Process Analytics
8.1 Analyzing Workflow Efficiency and Bottlenecks
8.2 Using Reports to Identify Process Improvement Areas
8.3 Visualizing Workflow Performance Through Dashboards
8.4 Monitoring Task Completion and SLA Compliance

9. Teamcenter Analytics for Compliance and Quality Management
9.1 Tracking Regulatory Compliance Metrics
9.2 Reporting on Product Quality and Test Results
9.3 Using Analytics to Ensure Product Integrity
9.4 Integrating Compliance Data into Teamcenter Reports

10. Best Practices for Reporting and Analytics in Teamcenter
10.1 Designing Reports for Different User Roles
10.2 Ensuring Data Accuracy and Consistency in Reports
10.3 Optimizing Report Performance and Efficiency
10.4 Securing and Controlling Access to Reports and Analytics

Conclusion
By the end of this course, you will have the tools and knowledge to create impactful reports and analyze PLM data to drive strategic decisions. Whether you’re looking to monitor product development, improve operational efficiency, or ensure compliance, Teamcenter’s reporting and analytics capabilities provide critical insights to enhance your PLM processes and business outcomes.