Zombie Applications: The Hidden Cost in the Digital Lab

Introduction

As part of our ongoing collaboration with our partner CSols, ZONTAL joined the Decoding the Digital Lab podcast to explore a topic that often sits just outside of active transformation efforts—yet has a significant impact on them.

In conversation with CSols’ Lisa Richard, ZONTAL’s David Hunt discussed what are commonly referred to as “zombie applications”—systems that remain within the organization long after their usefulness has passed.

It’s a topic most organizations recognize immediately.

Not because it’s new, but because it’s familiar.

What Zombie Applications Really Are

Zombie applications are not simply legacy systems.

They are systems that continue to exist without meaningful usage. In many cases, they have only a handful of users—or none at all. The people who originally supported them may no longer be with the organization. Documentation is limited. Dependencies are unclear.

What remains is a system that is still maintained, still incurring cost, and still introducing risk.

And because they are no longer part of daily workflows, they are often overlooked.

The Cost Isn’t Just Financial

The most obvious impact of these systems is cost.

Infrastructure, maintenance, and support can add up quickly, even for systems that are barely used. But as discussed in the podcast, the more significant impact is often less visible.

Zombie applications contribute to architectural complexity. They expand the surface area for security vulnerabilities. They make it harder to fully understand the system landscape. And they introduce uncertainty when organizations attempt to modernize.

In many cases, they are one of the simplest places to start when trying to reduce complexity—yet they are also one of the most commonly avoided.

Why They Persist

There is a reason these systems are rarely addressed directly.

They sit in a space between “still exists” and “no longer important.” Removing them requires effort, coordination, and confidence that nothing critical will be lost in the process.

In regulated environments, this becomes even more complex. Data must be preserved. Auditability must be maintained. And there is often a perception that systems need to remain intact in order to remain compliant.

As a result, many organizations choose to leave them in place.

Not because it is the best option, but because it feels like the least risky one.

The Real Challenge: What Happens to the Data

One of the central themes from the discussion with CSols is that the real challenge is not the application itself—it is the data.

These systems often contain years—sometimes decades—of experimental data, operational records, and intellectual property. That data cannot simply be discarded. It needs to remain accessible, traceable, and usable.

The approach discussed is to separate the data from the application lifecycle.

By preserving the original data in its native form while also creating a vendor-neutral version, organizations can maintain compliance while making that data accessible beyond the system it came from.

From Legacy Systems to Usable Data

Once data is brought into a consistent structure, it becomes easier to work with.

Instead of navigating multiple systems, teams can access information in one place. Historical data can be analyzed alongside current data. Questions can be answered without needing to return to legacy environments.

As highlighted in the conversation, this is where the value begins to shift.

What was once locked inside aging systems becomes available for analytics, reporting, and AI-driven use cases—without compromising the integrity of the original records.

A Different Way to Think About Modernization

Removing zombie applications is often seen as a cleanup effort.

But in practice, it is more than that.

It is an opportunity to simplify the system landscape while strengthening how data is preserved and used. It allows organizations to reduce unnecessary cost and risk, while also creating a foundation for future capabilities.

And importantly, it does not need to be a multi-year transformation.

As discussed in the podcast, these efforts can often be approached in a structured and time-bound way—making them far more achievable than they initially appear.

Looking Ahead

Zombie applications do not appear overnight.

They accumulate gradually, as systems age and priorities shift. Which means addressing them is not a one-time decision, but an ongoing discipline.

Organizations that revisit their application landscape regularly tend to avoid the buildup altogether. The environment remains easier to manage. The data remains more accessible. And future transitions become less disruptive.

At the same time, expectations around data continue to grow.

AI and advanced analytics depend on having data that is structured, accessible, and consistent—regardless of where it originated.

Closing Thought

The discussion with CSols reinforces a simple idea. Most organizations already know these systems exist.

The challenge is not identifying them—it is deciding to address them in a way that preserves what matters while removing what no longer serves the organization.

Because when that happens, what begins as cleanup often becomes something more valuable—a clearer, more usable, and more future-ready data foundation.