Excel and VBA in the Workplace: Identifying Risks, Taking Appropriate Action

Has your company built up processes in Excel and VBA over the years? At first, this was certainly a good solution—quick to implement, flexible, and requiring no major project. Over time, however, it has often become more than just a spreadsheet with macros. Complete specialized applications have emerged for planning, costing, approvals, reporting, production, quality control, and operational management.

That’s exactly when Excel becomes a risk. Not because Excel is inherently bad, but because it suddenly takes on tasks it was never intended for. Knowledge is tied to individual people, changes become tricky, data flows are hard to trace, and new requirements can only be implemented with a lot of effort.

• You manage core business processes using Excel files, macros, or VBA logic.
• Only a few people can reliably implement changes to the solution.
• Errors, manual steps, or data inconsistencies are on the rise.
• You need a sustainable replacement solution instead of constantly creating new workarounds.

• You’ll understand when Excel and VBA are still acceptable and when they become a business risk.
• You’ll recognize the typical problems associated with legacy Excel solutions in companies.
• You’ll gain insight into what a controlled transition without a “big bang” might look like.
• You will learn which factors most strongly influence effort, risk, and costs.

1. Critical processes run on a fragile foundation

Many Excel solutions were never intended to be permanent business applications. Nevertheless, they now control core processes.

Impact on the business: Even minor errors, changes, or outages can directly affect operations.

2. Knowledge is tied to individual employees

Often, only a few employees truly understand the macros, custom logic, formulas, and dependencies.

Impact on the business: Staff turnover, vacations, or absences increase risk, delays, and dependency.

3. The logic is barely transparent

Overgrown files often contain hidden sheets, auxiliary tables, linked files, manual intermediate steps, and calculations that are difficult to trace.

Impact on the business: The causes of errors remain unclear for a long time, and every change becomes uncertain.

4. Manual steps lead to errors

Data is copied, files are renamed, versions are shared, or values are adjusted manually.

Impact on the business: Error rates , rework, and reconciliation efforts increase.

5. Multiple users and roles can only be managed to a limited extent

As soon as multiple teams work with the same solution simultaneously, conflicts arise regarding access, versions, and responsibilities.

Impact on business: Processes become unclear, slow, and vulnerable.

6. Integration with other systems remains ad hoc

Many Excel and VBA solutions must interact with ERP, CRM, databases, portals, or machines. This is often only partially resolved.

Impact on business: Data silos persist, and data must be maintained multiple times.

7. The solution does not scale cleanly

What works with little data and few users reaches its limits when volume, variants, and complexity increase.

Impact on the business: Performance declines and new requirements become costly.

8. Changes are difficult to control

Many Excel solutions lack version control, testing, clear approvals, and structured quality assurance.

Impact on the business: Even minor adjustments can trigger unexpected consequences.

9. Security and traceability are insufficient

Files are stored locally, in shared folders, or sent via email. Changes are not always properly logged.

Impact on business: Data protection , auditability, and control become difficult.

10. Excel hinders further development

Once the core logic is locked into files and macros, any digitization, automation, or expansion becomes laborious.

Impact on the business: Speed , scalability, and future-proofing suffer.

A successful replacement doesn’t start with technology. It starts with understanding. If you only replace the surface-level components, you often end up carrying the same problems over into a new system. That’s why you first need transparency regarding processes, logic, data, roles, and dependencies.

1. Understand the existing solution

First, we clarify what the Excel and VBA solution actually does today. What steps are involved. What rules govern the process. What data sources are used. What special cases exist. And where the critical points lie.

2. Clarify risks and priorities

Not everything is equally important. It must be clear which parts are business-critical, where the greatest risks lie, and what needs to be stabilized or replaced first.

3. Define the target vision for the successor solution

Then a decision is made regarding what type of solution should support the process in the future. Depending on the situation, this could be a web application, an internal business application, a platform solution, or a combination of several components.

4. Replace gradually rather than all at once

In most cases, a controlled, step-by-step replacement makes more sense than a complete “big bang” approach. This ensures business continuity and reduces risks.

5. Set up operations, roles, and further development properly

A new solution must not only be functionally suitable. It must also be operable, documented, traceable, and capable of further development. This is precisely where many replacements fail when they are approached from a purely technical perspective.

Clear Roles and Access Rights

Users see and edit only what is relevant to their task.

Transparent data and decisions

Changes, approvals, and edits are documented and verifiable.

More stable processes

Fewer manual intermediate steps, fewer copies, fewer sources of error.

Better integration

Data can be seamlessly integrated with other systems.

Greater flexibility

Adjustments are more predictable, faster, and less risky.

Future-proof

The solution can scale to meet growing requirements, data volumes, and processes.

Many projects fail not because a replacement solution is technically impossible, but because the initial situation is underestimated.

A common mistake is trying to simply replace the file without fully understanding the underlying process. Another is selecting a new tool right away before requirements, logic, and risks are clear. It is equally problematic to digitize the workflow one-to-one, even though parts of it have evolved over time and no longer make sense today. Anyone looking to replace Excel should therefore not only ask what the file does today, but also what the process really needs to be able to do in the future.