All Posts

6 Steps to Success With Your PIM Implementation Project

A new PIM system costs a lot of money, but is also a huge asset. It allows a company to organize its product data, which is almost as important as the data itself. How do you keep things on track?

Here are 6 steps to success with your PIM implementation project:

  1. Strong project management
  2. Stakeholder buy-in
  3. Communication with stakeholders
  4. Project governance
  5. Post-Project Process Governance
  6. Celebrate quick wins

1. Strong project management

The backbone of any project is having a strong project manager. Someone who has a focus on the scope, who can herd all the cats and who can coordinate with the PIM software or integrator project manager.

Don’t assume that all you need is the project manager on the PIM vendor/integrator side.

It’s important that your company has its own PIM project manager, not only because only that project manager can  truly coordinate internally, but they have their eye on the company’s best interests.

2. Stakeholder buy-in

Identify who needs to have buy-in. At first you may simply have a core team: a project manager, the project sponsor, and the PIM owner. Other people also may need to have a voice in this project. An initial RACI chart such as the one shown below can help organize the people involved.


Who are the key people that interact with product data in the current process?

Most companies will have product managers, marketing, and e-Commerce folks all of whom both create and use the data that will be in the PIM.

Manufacturers will also have engineers who supply data. 

Distributors will have many suppliers whose data input needs to be coordinated.

Each team needs to have a voice, and their requirements need to be understood.

3. Communication with stakeholders

An initial kick-off meeting to should be held to show the project plan and where you will be asking for their time, both during and after the initial PIM project, is essential.  Continuous communications via email to keep everyone up to date on the scope and progress helps tremendously. PRO TIP: Keep the same format! For example, at template can be used to show weekly objectives and action items, the person responsible and the due date.

Read: PIM Project Best Practices - Communicating With Stakeholders

4. Project governance

Another chart in addition to the RACI is a project process map. Show all the key activities and deliverables of the project.

Certain documents will be needed during implementation to set up the PIM. These could include:

  • a integration model to identify all systems that will be linked to the PIM,
  • a logical data model to establish key entities,
  • primary taxonomy to build the organizing backbone of the PIM,
  • attribution schema to identify all the attributes with their metadata,
  • and, of course, the data itself.

It is also important to identify the key players who will participate in ongoing governance.

  • Who owns each of these documents?
  • Who is going to be attending training?
  • Who is going to be part of the governance processes post PIM go live?

As shown in the table below, governance is a process. Some activities are temporary, some are ongoing, and some are perpetual. We can see what this cycle looks like in the table below.


5. Post-project process governance

One of the key things about governance is that it not only identifies who is involved in the ongoing processes; it also establishes accountability.

If accountability is lost, then the PIM and the data managed within quickly loses its steam and starts to fail.

Product information management governance ensures that this doesn’t happen. The ongoing processes need to be identified, and the people who are involved in those processes need to be established.

The RACI chart mentioned before is re-created for the ongoing process.

The temporary project work RACI may be very similar to the ongoing process work RACI. It can also be much broader, encompassing several more people rather than representative people for a team.

For example, during the project, one product manager may have been involved in PIM implementation to ensure the project had a product manager perspective while building out structures and process. The ongoing governance process, post go live, will include all product managers because they need to approve data for their specific products.

This will broaden the RACI chart. A process map is used to lay out the steps for each process.

Key performance indicators (KPIs) are established to measure success.

PIM KPIs can include

  • time to market” for an onboarding process
  • success score” for an audit process (used to check the product data for accuracy and consistency)
  • "overall data fill” (the percentage of attribute values filled in with data)

6. Celebrate quick wins

Start this when you select the PIM you are going to go with, high five! That decision is a huge project in itself! Different PIMs have a lot in common but they function in very different ways. The wrong choice can have long lasting, and costly impact.

Make sure the PIM you choose is the right one for your company. 

Onboarding a PIM is not simply about downloading an app. Certain structures need to be in place, such as the logical data model and taxonomy. Each of those aforementioned builds are a huge win, so celebrate them. Even when you hit an interim KPI, such as a 70% data fill, celebrate!

PRO TIP: Don’t expect a 100% data fill when you first onboard a PIM system.

These wins are a key component to successful PIM implementation and very important to the overall picture.

We hope this helps you on the way to having a strong PIM system.

If you need help with any of these steps--selecting a PIM, building the logical data model, attribution schema or taxonomy--we would love to help, and will supply many high fives along the way as a bonus. Contact us now! 

Chantal Schweizer
Chantal Schweizer
Chantal Schweizer is a taxonomy professional with over 10 years of experience in Product Information and Taxonomy. Prior to joining Earley Information Science, Chantal worked on the Product Information team at Grainger for 9 years, Schneider Electric’s PIM team for 2 years and had some previous work in PIM consulting.

Recent Posts

The Future of Bots and Digital Transformation – Is ChatGPT a Game Changer?

Digital assistants are taking a larger role in digital transformations. They can improve customer service, providing more convenient and efficient ways for customers to interact with the organization. They can also free up human customer service agents by providing quick and accurate responses to customer inquiries and automating routine tasks, which reduces call center volume. They are available 24/7 and can personalize recommendations and content by taking into consideration role, preferences, interests and behaviors. All of these contribute to improved productivity and efficiency. Right now, bots are only valuable in very narrow use cases and are unable to handle complex tasks. However, the field is rapidly changing and advances in algorithms are having a very significant impact.

[February 15] Demystifying Knowledge Graphs – Applications in Discovery, Compliance and Governance

A knowledge graph is a type of data representation that utilizes a network of interconnected nodes to represent real-world entities and the relationships between them. This makes it an ideal tool for data discovery, compliance, and governance tasks, as it allows users to easily navigate and understand complex data sets. In this webinar, we will demystify knowledge graphs and explore their various applications in data discovery, compliance, and governance. We will begin by discussing the basics of knowledge graphs and how they differ from other data representation methods. Next, we will delve into specific use cases for knowledge graphs in data discovery, such as for exploring and understanding large and complex datasets or for identifying hidden patterns and relationships in data. We will also discuss how knowledge graphs can be used in compliance and governance tasks, such as for tracking changes to data over time or for auditing data to ensure compliance with regulations. Throughout the webinar, we will provide practical examples and case studies to illustrate the benefits of using knowledge graphs in these contexts. Finally, we will cover best practices for implementing and maintaining a knowledge graph, including tips for choosing the right technology and data sources, and strategies for ensuring the accuracy and reliability of the data within the graph. Overall, this webinar will provide an executive level overview of knowledge graphs and their applications in data discovery, compliance, and governance, and will equip attendees with the tools and knowledge they need to successfully implement and utilize knowledge graphs in their own organizations. *Thanks to ChatGPT for help writing this abstract.

Innovation with Utility in Mind - What’s Ahead for 2023

It has been a year of advances in AI with new tools that create art, write essays, and have conversations that are often (but not always) startlingly eloquent.  It is that space of "not always" that keeps these tools from working out of the box to solve actual business problems without human intervention.