Why ERP implementations fail — and how to do better

Why do so many ERP implementations fail?

The main reason often lies in how these projects are delivered. Many companies choose a traditional approach where everything is planned up front: first the requirements are written down in detail, then the software is developed and adapted, then it is tested, and finally it goes live. On paper, that makes sense. In practice, this approach has often proved problematic.

In a large, rigid project that runs for months or even years, many unforeseen things can happen: requirements change, technologies evolve, and — most of all — the people who will later work with the ERP software may have very different expectations than assumed at the start. As a result, users often see the finished system only at the end of the project — and then feel surprised and overwhelmed.

A staged path to a successful ERP system

Modern approaches therefore emphasize flexibility: the system is built in stages, tested, and tried out directly by the people who will use it. That way problems can be spotted and fixed early, before they turn into major obstacles. The benefits are clear: user feedback is built in early, and adjustments can be made at any time.

Below we walk through the five most common mistakes in ERP projects — and how a flexible, incremental approach helps you avoid them.

Mistake 1: No clear goals and too many opinions

ERP projects often start with ambitious plans: the new software should support as many areas of the company as possible and replace legacy systems. What is often missing, though, is a clear direction.

A typical problem: at the start of a project there are many different views of what the system should actually do. Leadership has a vision, IT has its own priorities, and business teams often have the clearest understanding of what they actually need. That quickly leads to conflicting requirements and an overloaded project plan. Everyone wants their own needs covered, and in the end there is no clear focus left.

There is also often no central person or group with final decision rights. Instead, many people weigh in, but no one has clear ownership. That produces an unclear strategy and frequent mid-project changes — which ultimately means delays and higher costs.

Better: Implement in manageable stages

A phased approach makes sure you tackle only the most important goals first. Instead of trying to do everything at once, the project is split into smaller stages that stay manageable and rest on clear, shared goals. You stay flexible and can adjust at any time without losing sight of the big picture. It also matters that end users are involved early so their needs are considered from the start.

Mistake 2: Excessive customization drives cost and complexity

Many companies tailor their ERP system so heavily to their own processes that it barely resembles the standard product anymore. Two kinds of change are usually distinguished: configuration — settings made inside the system — and custom development, often called “customization.” Configuration is usually fine; deep custom development quickly gets complicated.

Those special adaptations may sound like a good idea at first — after all, you want the system to fit your way of working perfectly. But this comes with a major drawback: excessive customization does not just make the software more complex; it also makes it more expensive. The more custom code you add, the more time and resources you need — not only during development, but also for later maintenance. Updates also get harder, because customizations may need to be reworked with every update.

Worse still: many of these adaptations rest on theoretical assumptions about how processes should work in practice. Only after go-live does it become clear whether the changes were actually useful — or whether they just added needless complexity.

Better: Standard processes instead of expensive custom solutions

Rather than trying to customize everything perfectly from day one, it makes sense to implement the system first in a simple, standardized form. Users can then try it in real work and give early feedback on what works and what does not. Ideally, you can even adapt business processes to the software’s built-in best practices, which makes further system changes unnecessary.

Mistake 3: Users are not involved enough

A common reason ERP projects fail is that users are not involved enough. Often they only get presentations, or the project team demos the system to them. They cannot try it themselves. So it stays unclear what day-to-day work will look like.

That creates uncertainty during the project and resistance at go-live. Employees feel overwhelmed and believe their needs were ignored. In the worst case, an expensive, lengthy IT project ends with a system that supports their processes less effectively than the one it replaced.

Simply asking employees about their “requirements” is often not enough, because most people do not know what they actually need. Theory and practice often diverge. Before you use software in production, it is hard to judge which features you really need, what is missing, and what is superfluous.

Better: Involve users actively and discover real needs

Instead of only informing users or asking for requirements, involve them early and actively in the process. That means they must be able to try the system themselves and test it with real work. Problems and awkward workflows then show up during development and can be fixed. Rather than fulfilling wish lists, the goal is to find out what employees really need to work more efficiently.

This is where product managers come in. They help identify users’ real needs and tune the system accordingly. That not only raises acceptance, but also produces a system that works better day to day.

Mistake 4: Poor data — a problem often spotted too late

One of the biggest stumbling blocks in ERP projects is data migration — moving existing company data into the new system. In many cases this issue is only discovered shortly before the planned go-live, when the data turns out to be incompatible with the new system or requires more cleanup than expected.

Often the data is inconsistent, incomplete, or outdated. That happens because it was maintained for years across different systems and no one took ownership of its quality. In the rush of the project, the problem is frequently overlooked — until it is too late.

Better: Migrating data in stages prevents nasty surprises

Treat data as a core project task from day one. Instead of migrating everything only at the end, move data into the new system in stages and test it there. That way problems surface early and can be fixed. It is also important to assign clear ownership for data quality so the topic does not fall through the cracks.

Mistake 5: Neglecting the final project phases

In many ERP projects the focus stays on the early phases: planning, design, and development. The later, decisive phases — testing and training — are often neglected. Time runs short and pressure to go live rises. Only then does it become clear that thorough testing is missing and employees are not yet familiar with the system. A rocky start with unnecessary errors and overwhelmed users is almost guaranteed.

Better: Phased rollout and ongoing, focused training

Instead of launching the entire system at once, implement it in stages. Employees can then learn the system in smaller, manageable steps and adapt faster. Training can also happen in several stages. Because each change is limited, short, focused sessions are enough — teaching users exactly what they need right then.

As the rollout proceeds alongside day-to-day work, the system is tested in practice, and issues can be fixed immediately. That not only shortens training time, but also makes everyday use of the new system smoother.

Conclusion: Flexibility and early user involvement are the key to success

The key to a successful ERP project is a flexible, incremental approach in which the system is introduced into real work gradually. Instead of finishing everything in one big go-live, the rollout happens in small, manageable stages. That approach lets employees use the system productively in everyday work while it is still being developed, rather than only in isolated test phases.

A major advantage is that users are actively involved from the start. The system isn’t just tested in isolation; it is used in real workflows. Problems or awkward processes become visible immediately and can be corrected early, before they turn into larger obstacles.

Implementing in stages also makes the transition to the new system smoother. Employees learn the system gradually instead of being suddenly confronted with an entirely new way of working. Continuous training that runs alongside the rollout gives them enough time to get used to it. That means less frustration, higher acceptance, and ultimately more effective use of the system.

Another strength of this approach is continuous improvement. As the system is rolled out in stages, adjustments can be made based on real user feedback. That way you ensure the finished system not only works as designed, but also meets employees’ actual needs. This kind of flexible implementation avoids the typical problems of rigid projects — for example, users discovering only after go-live that the system does not support their workflows well.