“Seventy percent of transformations fail.” This statistic from McKinsey & Co. has been repeated for years in boardrooms, reports, and strategy presentations. Most leadership teams do not need to be reminded of it; they have experienced it.
What is striking is not that the number exists, but that it has not changed, despite technological advances such as cloud computing or artificial intelligence (AI). For decades, frameworks, methods, and consulting firms have been built around this problem. Technology has evolved dramatically, but the failure rate has not changed.
The reason is increasingly not a lack of strategy or ambition, but the gap between the two. Companies make plans about where they want to go: they invest in roadmaps, platforms, and programs. But somewhere between the boardroom and operations, the energy and the value to be created are lost in misaligned priorities, disconnected systems, or initiatives that never translate into real operational change.
This gap is becoming harder to ignore as AI redefines the importance of transformation and raises the stakes for getting implementation right. Companies that fail to connect strategy and execution will not only fall behind, but risk being excluded entirely from the next wave of competitive advantage.
It is precisely this challenge that led Mimacom to formalize its Digital Business Transformation service: not to add another voice to an already crowded discussion, but to address a problem that, despite all the noise, remains largely unsolved.
The real reason transformations fail
It is often assumed that transformations fail because of technology. In reality, technology is rarely the problem anymore. The more persistent issue is that transformation initiatives are not closely enough linked to business outcomes from the start.
Most companies begin with projects. They migrate systems, implement platforms, or introduce new tools – initiatives that may be necessary and valuable but do not automatically impact the business. Without a clear definition of what success looks like in business terms, a digital transformation becomes a collection of activities rather than a coordinated program. Teams stay busy. Budgets are spent. And yet leadership struggles to answer a deceptively simple question: What actually changed for the business as a result of this transformation?
This is not a technology problem. A central paradox of digital transformation is that many projects are started without a clear answer to the “why.” Organizations often act out of a reactive impulse, driven by fear of falling behind competitors. This strategic lack of direction leads to technology being implemented as an end in itself, rather than as a tool to solve specific business challenges.
What successful companies do differently
Companies that succeed in transformation tend to approach it in a fundamentally different way. They treat transformation not as a technology initiative, but as a business program with clear objectives and measurable outcomes.
Start by defining what success looks like in business terms. This is not a vision statement, but a small number of concrete priorities.
Joscha Jenni, VP Delivery Mimacom
They start by defining what success looks like in business terms. This is not a vision statement, but a small number of concrete priorities: faster entry into new markets, reduced operational complexity, improved customer retention, and increased digital revenue. These priorities are then translated into KPIs that can be tracked and reported over time.
Only once these outcomes are defined do they decide which technology investments and operating model changes are required to support them. Strategy, technology, and execution are connected from the beginning and are not treated as separate conversations happening in different rooms.
This changes how transformation is managed. It becomes a structured program with clear accountability and regular measurement of business outcomes, rather than a portfolio of projects loosely aligned to a common goal. Progress becomes visible. Trade-offs become clear. And when something does not work, there is enough clarity to correct course before costs become too high.
The difference sounds simple. In practice, maintaining this discipline – especially as programs scale, the number of stakeholders increases, and priorities shift – is exactly where most companies lose momentum.
Measuring transformation transparently
Knowing what good looks like is one thing, but creating the conditions to make it possible is another. This is where most transformation programs struggle: in execution. The moment a clearly defined business goal must be translated into a technology decision, an investment case, a change in team organization, or a new way of measuring performance, complexity multiplies. Without a structured approach to this execution, even the best-defined strategies tend to fragment during implementation.
What effective transformation programs have in common is not a specific methodology or tool, but a consistent focus on the connection between strategic intent and operational reality – and the willingness to make that connection explicit at every stage. This means defining not only what should be built, but also what should change by when and how it will be measured. It means treating the operating model as part of the transformation scope, not as an afterthought. It also means establishing governance structures that ensure business and technology remain aligned throughout the program, rather than assuming alignment will happen automatically.
None of this is new in principle. That is precisely why the gap persists despite decades of investment and why it takes more than a framework to close it. It requires a partner who understands both sides of the equation: the strategic clarity to define which outcomes matter, and the technical depth to ensure that the systems and platforms being built can actually deliver them.
How to be among the successful 30%
Companies that succeed in transformation do not always have the largest budgets or the most advanced technology. They are the ones that are most disciplined in one critical area: they establish a clear, measurable link between transformation activities and business outcomes – and maintain that link as programs scale, priorities shift, and the technology landscape evolves.
Maintaining this discipline is harder today than it was five years ago. AI has raised both the bar for what is possible and the difficulty of achieving it. The companies that will lead are not those that adopt AI the fastest, but those that have built the strategic clarity, technical foundations, and operating models to apply it where it truly matters.
This is the context in which Mimacom launched its Digital Business Transformation service, and it shapes how the work is done. The focus is not on starting more initiatives, but on designing structured transformations that connect strategy and execution from the beginning. This generates value quickly, so that results can be validated: defining the outcomes that matter, aligning technology and operating model decisions to those outcomes, and measuring progress in a way that gives leadership control over the direction of the program.
Transformation does not fail because companies lack ambition. It fails because ambition without structure and measurability is very difficult to sustain at scale. The 30% of successful companies do not see transformation as a project to be completed, but as a business capability to be built – a capability that becomes better, faster, and more valuable over time. That is the difference between activity and impact – impact that is worth measuring.
