Duration 3 days – 21 hrs.
Overview
This comprehensive training course is designed to equip participants with the essential knowledge and practical skills to effectively utilize Pimcore as a powerful Product Information Management (PIM) and Master Data Management (MDM) solution. Pimcore is an open-source platform renowned for its flexibility, scalability, and robust features for centralizing and harmonizing product data across various channels and touchpoints.
Objectives
- Understand the fundamentals of Product Information Management (PIM) and Master Data Management (MDM).
- Gain proficiency in navigating the Pimcore platform and its core functionalities.
- Learn how to centralize and manage product data efficiently within Pimcore.
- Explore advanced features for data modeling, classification, and enrichment.
- Master the process of data import/export and synchronization with external systems.
- Discover best practices for data quality management and governance.
- Learn to create compelling product experiences across multiple channels.
- Understand the role of Pimcore in digital asset management and media enrichment.
Audience
- Business professionals involved in product management, marketing, and e-commerce
- IT professionals responsible for data management and system integration
- Developers interested in learning Pimcore for custom solutions
- Data Engineers
Pre- requisites
- Basic understanding of product management and data management concepts
- Familiarity with web technologies and databases is advantageous but not mandatory
- A general understanding of databases, data modeling, CMS, and eCommerce sites
Course Content
- Introduction
- Overview of Pimcore Features and Architecture
- Understanding Data Modeling under Pimcore
- Navigating the User Interface
- Customizing Attributes, Relationships, and Processes
- Integrating Data with Company Website
- Integrating Data with Marketing Materials
- Integrating Data with eCommerce Platform
- Creating Dynamic Templates
- Streamlining the Consumer Experience
- Exporting Data
- Improving Internal Workflows
- Collaborating with Marketing, Product Management Engineering and Business Analysts
- Troubleshooting
- Summary and Conclusion
