Guide to a successful PIM implementation

A PIM implementation is never "just an IT project." It's a business transformation – and the difference between a successful and a failed project rarely comes down to the system itself. Here are the lessons that actually make a difference.


What does a PIM implementation actually involve?

  • Mapping and modelling your product structure and data model

  • Scoping functionality, integrations, and channels

  • Migrating existing product data

  • Integrations with ERP, e-commerce platform, and other systems

  • Training and onboarding of users

  • Ongoing development – because it's never truly "done"

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What do successful PIM projects have in common?

What failed projects share is rarely the system itself. It almost always comes down to poor organisational alignment, unclear priorities, and misaligned expectations.


Conversely, the implementations that land really well are often not the most advanced ones. They're the ones where the team knows what they want to achieve, stays focused on the right things, and is prepared to make decisions as they go.

Portrait Carl Torgnyson

"Never start too complex. Get going, keep it simple, and build on it from there. It's not the system that solves the problem – it's what you and your organisation want to do with it."

– Daniel Jansson, PIM Architect at Cypoint

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What PIM projects typically look like

No implementation is exactly like another – but the phases are often the same or very similar.

⚪ Phase 1 • Discovery & scoping

Understand your current state and define where you're going. Map where your product data lives today, which systems it needs to integrate with, and what business outcomes you want to achieve. This is the phase where the business must take ownership. No one else can define your requirements for you.

Current state analysis | System mapping | Requirements document | Data model (first draft)

🔵 Phase 2 • Design & modelling

Build the structure everything else rests on. The data model is the heart of your PIM implementation. What does your product hierarchy look like? Which attributes do you need? How should data flow between systems? Mistakes here are expensive to fix later – invest the time now.

Data model | Attribute structure | Integration design | Channel strategy

🟡 Phase 3 • Build & migration

Configure, integrate, and move data. The system is set up, integrations are built, and product data is migrated. Expect data cleansing to take time – product data is rarely as clean as you'd hope. This is also when you start testing and validating that everything works as intended.

Configuration | Data cleansing | Migration | Integration testing

🟢 Phase 4 • Training & go-live

Getting the organisation up and running. A system no one knows how to use is an expensive archive. Train users before go-live, not after. Clear roles and ownership of product data are just as important as the technology – this is where you determine whether it actually changes how you work.

Training | Onboarding | Role definition | Go-live

🟣 Phase 5 • Operations & continuous development

A PIM implementation is never truly done. The business evolves. The product range changes. You open new channels and markets. A PIM system needs ongoing attention – plan for governance from the start, not as an afterthought.

Operations | Continuous development | Ongoing training | Version updates

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Common mistakes in PIM implementations

No implementation is perfect – but there are patterns for when things go wrong.

Starting with the system, not the business

The most common mistake. Before you even look at systems – define the business outcomes you want to achieve and the problem you're actually trying to solve. The system is a means, not an end.

Data cleansing is massively underestimated

This is often where things get critical. When you need to launch in a new market or sell through a new channel – and all product information suddenly needs to exist in German, in the right format, adapted to that channel's requirements. Without PIM it's a manual nightmare. With PIM it's a process.

Change management is overlooked

The system alone isn't enough. Buying a platform and hoping people start using it doesn't work. It requires training, clarity around roles, and sometimes a genuine shift in how people work with product data.

Integrations aren't scoped properly

Your PIM needs to talk to ERP, e-commerce, PLM, internal systems, marketplaces, and perhaps print. Integrations take time, require resources on both sides, and often hold surprises. Plan and scope them thoroughly.

Portrait Carl Torgnyson

"You can choose the world's best PIM system and still miss the mark. If the data flows to your other systems aren't right, if no one owns the responsibility for keeping it alive – then it mostly becomes an expensive place to store information."


– Carl Torgnyson, PIM Expert at Cypoint

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7 tips for a successful PIM project

Lessons from implementations we've helped drive.

💡 1. Spread the knowledge – break silos early

A PIM implementation is an opportunity to onboard and upskill new people and break down information silos. Use the project actively to distribute ownership across the organisation. You'll avoid single-point-of-failure dependencies and save time – both benefits stick around long after the project closes.

🎯 2. Define must-haves vs. nice-to-haves from the start

Have a clear picture of what is business-critical and what can wait. Focus the implementation on what matters most first. It requires discipline – but it's essential to actually reaching the finish line.

✅ 3. Make improvements – not just a like-for-like migration

It's tempting to just "move over" what you have today. Don't. You're switching systems because you want to do things better – otherwise your backlog of improvements risks collecting dust. Like-for-like migrations are also tedious to build and costly to maintain.

🪧 4. It's never "just an IT project"

The business owns the scope. Your business needs should drive the project – not IT's. Successful projects have business-side engagement with the mandate to make decisions. Dedicate the right resources, or it's not worth doing at all.

🤝 5. Choose your implementation partner carefully

The partner can be the difference between a failed and a successful project. Don't choose on price alone. Choose the one who actually understands your business and your operating model. The right partner will also challenge you – and that's a feature, not a bug.

🏃 6. Be decisive – decisions need to be made as they come

During an implementation, situations constantly arise that require quick decisions. It's more important to make a call and move forward than to wait for the perfect answer. Wrong decisions can be corrected. No decision stops the project.

⌛ 7. Decide in advance when you'll freeze scope

Time always moves faster than you expect. Set a clear line – a date or a milestone – where you stop adding and start finishing. Otherwise the project keeps running without landing. There's always a next phase.

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Checklist for a successful implementation

Not a definitive playbook – but a solid foundation to check against.

⚪ Before you start

  • Define what business outcomes PIM should deliver.

  • Clarify what problems you're actually trying to solve.

  • Map where your product data lives today.

  • Appoint a business owner with the mandate to make decisions.

  • Separate must-haves from nice-to-haves.

  • Choose your implementation partner carefully – not just on price.

🔵 During the project

  • The data model is well thought through and aligned with the business.

  • Plan and carry out data cleansing (it always takes longer than expected).

  • Make decisions as you go – don't defer them.

  • Set a clear date for when scope is frozen.

  • Users are involved and know what's coming.

  • Plan integrations and resource them on both sides.

🟢 Before/after go-live

  • Plan and deliver training – don't treat it as an afterthought.

  • Ownership of product data is clearly defined across the organisation.

  • Silos are broken – more than one person knows how the system works.

  • You have a plan for ongoing operations and continuous development.

  • You measure business outcomes against what you defined before you started.

Common questions about PIM implementations

Q&A for those who want to know more

You're ready when you know why you're doing it – not when you've found a system you like. You need to have mapped where your product data lives today, have a business sponsor with the mandate, and a rough picture of the integrations required. If any of those are missing, start there.

Then you shouldn't start yet. Incomplete scoping is one of the most common reasons PIM projects go off the rails. You don't need all the answers – but you need to know what you want to achieve, what your must-haves are, and who in the organisation owns the decisions.

Typically 3–6 months for an initial implementation, but it varies depending on how complex your product structure is, how many integrations you need, and how clean your existing data is. Data cleaning is the part that takes longest and is most consistently underestimated.

More than most anticipate. This is not a project you can hand off to IT and collect when it's done. You need a business sponsor with mandate, key stakeholders who can make decisions throughout, and end users involved in testing and training. Without that, things tend to go wrong.

Often yes – but keep the overlap as short as possible. Dual data entry is costly and quickly creates confusion about which source is authoritative. Set a hard cutover date and stick to it.

Stop and reprioritise. Most projects don't fail all at once – they drift. Common signs: decisions are deferred, new requirements are added without removing old ones, and no one really owns the issues anymore. A good partner spots this before you do and calls it out.

A PIM implementation is never truly done. The product range changes, you add channels, the system gets updated. Operations means ongoing support, continuous development, and version management. Plan for it from the start, not when something breaks.

Measure against what you defined before you started – not against whether the project stayed on time and budget. Faster time to market? Fewer errors in product data? Ability to launch new channels? Those are the questions that count. If you didn't define success criteria upfront, they're hard to answer afterwards – and that in itself is telling.

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