Here’s a stat that should make every executive nervous: somewhere between 70% and 85% of digital transformation projects fail to meet their objectives. That number hasn’t improved much over the past decade, despite companies spending trillions on these initiatives.

So what’s going wrong? It’s not the technology. That part usually works fine. The failures are almost always human.

The “Shiny Object” Problem

The most common mistake is starting with technology instead of starting with a problem. Someone at the top reads an article about AI, or blockchain, or whatever the hot technology of the moment is, and decides the company needs it. Now.

What follows is a frantic scramble to find a use case that justifies the technology purchase. That’s backwards. You should identify a business problem first, then figure out which technology (if any) can solve it.

I’ve seen companies spend millions on machine learning platforms before they’d even cleaned up their data. It’s like buying a Formula 1 car before you’ve learned to drive.

Culture Eats Strategy for Breakfast

Peter Drucker supposedly said this, and it’s never more true than during a digital transformation. You can have the best strategy in the world, but if your organisation’s culture resists change, nothing will stick.

This shows up in predictable ways. Middle managers feel threatened and quietly sabotage new processes. Frontline employees never get proper training and revert to old habits. IT and business teams don’t talk to each other, so the solution that gets built doesn’t match what people actually need.

Team400 has written about this extensively — the organisations that succeed are the ones that invest as much in change management as they do in technology. That means training, communication, and genuinely listening to the people who’ll be using the new systems every day.

Scope Creep Is a Killer

Digital transformations tend to start with reasonable goals and then expand until they’re unrecognisable. What begins as “let’s digitise our invoicing process” becomes “let’s rebuild our entire ERP system” becomes “let’s reimagine how the whole company operates.”

Each expansion makes sense in isolation. But the cumulative effect is a project that’s too big to manage, too expensive to justify, and too complex to deliver on time. The most successful transformations I’ve seen are the ones that stay deliberately small and focused, deliver results, and then expand.

Nobody Owns It

Another pattern: digital transformation gets assigned to a committee. Or worse, to a single IT department that doesn’t have the authority to make business decisions. Without clear ownership and executive sponsorship that goes beyond lip service, these projects drift.

The CEO needs to care. Not “mention it in the quarterly earnings call” care. Actually care. Show up to meetings, ask hard questions, and make decisions when things get stuck. If the transformation isn’t a genuine priority for leadership, everyone else will treat it accordingly.

The Data Problem Nobody Wants to Discuss

Most companies have terrible data. It’s scattered across dozens of systems, formatted inconsistently, full of duplicates, and riddled with errors. Any digital transformation that depends on data — which is basically all of them — will hit this wall.

Cleaning up data isn’t glamorous. Nobody gets promoted for spending six months standardising customer records. But it’s foundational work that can’t be skipped. Companies that try to build sophisticated digital systems on top of messy data end up with sophisticated digital systems that produce unreliable results.

What Success Actually Looks Like

The companies that get digital transformation right tend to share a few characteristics:

They start small. Pick one process, one department, one problem. Solve it well. Learn from it. Then move on to the next thing.

They measure relentlessly. Before the project starts, they establish clear metrics for success. Not vague goals like “improve efficiency” but specific targets like “reduce invoice processing time from 5 days to 1 day.”

They invest in people. Training budgets that match or exceed technology budgets. Dedicated change management teams. Regular check-ins with end users to identify problems before they become crises.

They accept that it’s never really “done.” Digital transformation isn’t a project with a start and end date. It’s an ongoing process of adaptation. The companies that treat it as a one-time initiative are the ones that end up doing it again three years later.

They’re honest about what’s not working. This might be the most important one. Successful companies kill projects that aren’t delivering, even when it’s embarrassing. Sunk cost fallacy has probably destroyed more digital transformations than any technical problem.

If you’re about to embark on a digital transformation, or in the middle of one that’s struggling, ask yourself: do we have a clear problem to solve? Does leadership genuinely support this? Have we talked to the end users? Is our data ready? If the answer to any of those is no, fix that before spending another dollar on technology. The technology is the easy part. Everything else is where transformations live or die.