Pimcore PIM/MDM

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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
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