Squadra logo
  • Services 
  • About Us 
  • Insights 
  • Cases 
  • Careers 
  • Contact Us  

  •  Language
    • English
    • Nederlands

  •   Search this site
  •  
  1.   Insights
  1. Home
  2. Insights
  3. PIM-In-A-Day Fundamentals Training

Insights

PIM-In-A-Day Fundamentals Training

Discover the fundamentals of Product Information Management (PIM) in just one day. For organizations with no PIM experience that want to gain control over product data and prepare for the next step.
November 1, 2025 • 3 min read
PIM  
PIM  
PIM-In-A-Day Fundamentals Training
Share article:
Squadra
Link copied to clipboard

Do you want to learn the basics of Product Information Management (PIM), or are you wondering what benefits a PIM system can bring to your organization? During the PIM-In-A-Day Fundamentals Training, our experts will guide you in one day through everything you need to know about managing product data and setting up a future-proof data strategy. Sign up now!

 

Who Is This Training For?  

The PIM-In-A-Day Fundamentals Training is ideal for organizations that do not yet have a PIM system but recognize that their current way of working with product information is not future-proof or scalable.

This training is perfect for your organization if you…

  • .…do not yet have a PIM system but experience challenges in managing product data.
  • …want to know whether PIM is the right solution for your data structure challenges.
  • …want to convince stakeholders of the added value of a PIM solution.
  • …are looking for an efficient way to process supplier data.
  • …want to anticipate developments such as the Digital Product Passport (DPP) and other sustainability requirements.

 

Practical Information  

Duration: 1 day
Number of participants: 8-12 (max. 15)
Format: In-house training at your organization’s location
Sign up now!  

 

What Will You Learn During This Day?  

Guided by Squadra’s experts, you’ll get answers to questions such as:

  • What exactly is PIM, and how does it differ from ERP, DAM, or CMS?
  • When do you need a PIM system, and which systems are available?
  • Why are taxonomy and classification so important for product data?
  • How do you build a solid data model for PIM?
  • Why is a PIM data model and product hierarchy different from a data model for ERP or a website?
  • How do you successfully implement a PIM solution?
  • Which processes and roles are essential for effective product data management?
  • What is the role of data enrichment and AI within PIM?
  • What can (and can’t) you do with a data pool?

In addition, we’ll cover:

  • The differences between PIM, MDM, and DAM
  • Business drivers for PIM in the context of e-commerce and omnichannel
  • How to start a PIM project: from business case to the first concrete steps
  • Best practices for data organization and collaboration between departments

 

Why Squadra?  

With years of experience in Product Information Management (PIM) implementations, data strategies, and AI solutions, Squadra is your knowledge partner in the field of product data. Our consultants work daily with organizations across various industries to improve data quality, processes, and systems.

Sign up now!  

 

Follow-up Training: Deep Dive  

 
Did you know: For organizations that already work with a PIM system and are looking for further depth, we offer the PIM-In-A-Day Deep Dive training!

View our follow-up training here: PIM-In-A-Day Deep Dive Training

 

 PIM-In-A-Day Deep Dive Training
Back To Work Session 2025: AI & AI Agents 
Share article:
Squadra
Link copied to clipboard
Interested in this topic?
Jos Schreurs
Jos Schreurs
Please leave your contact details so we can get in touch.
Get in touch  
Get in touch  
Jos Schreurs
Jos Schreurs
Interested in this topic?
Please leave your contact details so we can get in touch.
Get in touch  
Get in touch  
Services
Data Foundation 
Analytics 
Artificial Intelligence 
Digital Commerce 
Digital Leadership 
Digital Transformation 
About Us
Offices 
Company Values 
CSR 
Partners 
Links
Insights 
Cases 
Careers 
Privacy 
Cookies 
Stay informed
Squadra
   
Copyright © 2025 Squadra. All rights reserved.
Squadra
Code copied to clipboard