Many companies have all the data they need — but still can't run the business effectively

Many companies manage data from ERP systems, CRM platforms, BI tools and other business systems. At the same time, AI is at the top of the agenda for many CEOs and CFOs, often with the hope that new technology will quickly produce better decisions, higher efficiency and more control. But for many organisations, the problem isn't a lack of AI, systems or reports — it's that the underlying data is scattered, inconsistent and hard to trust. The result is manual processes, slow decisions and businesses that are far harder to steer than they should be.

Many leaders recognise the situation. The reports exist. The systems exist. The data exists somewhere in the organisation. And yet, it still takes far too long to get answers about how the business is really doing.

Why do the numbers differ between systems? Which version is actually correct? Why is so much still built on manual exports and Excel files? And why does every new report feel like a project?

In many companies, the problem isn't a lack of systems. On the contrary. The challenge is that data is spread across different ERP systems, BI solutions, CRM platforms and local Excel models that have grown organically over time. In groups with acquisitions, multiple entities or different finance systems, it quickly becomes complex.

The result is usually:

• manual handling
• uncertain data quality
• long lead times
• person-dependent processes
• difficulty working proactively

That's when many start looking to overhaul their solution. But this is where companies often make a mistake. They try to solve the problem by buying yet another system, or hoping AI will fix it.

The problem, however, is usually structural. If data is scattered, inconsistent or lacks shared logic, yet another tool won't create control. And AI is never better than the data foundation it's built on.

Many organisations sit on huge volumes of data but lack a harmonised structure that makes the information reliable, traceable and useful in practice. Only when data is connected can reporting, analysis, forecasting and AI deliver real business value.

Excel is still finance's best friend

For many leaders, Excel is still the most flexible and powerful tool for analysis, reporting and follow-up. The problem arises when the data behind Excel isn't structured, harmonised or quality-assured.

When the same KPI is calculated differently in different systems. When numbers have to be copied manually. When the finance team spends more time chasing data than analysing the business. That's where the bottleneck sits.

For many organisations, the solution therefore isn't to replace Excel, but to give Excel the right conditions through a stable, quality-assured data foundation.

Start with the data foundation

More CFOs are therefore beginning to think differently about their system landscape. Instead of replacing everything, they focus on creating a shared data foundation where financial and operational data is gathered, quality-assured and made available in real time.

That way, the business can keep working in tools they already know, such as Excel or Power BI, but with significantly better control and reliability.

It delivers:

• faster reporting
• better traceability
• fewer manual steps
• simpler consolidation
• better decision support
• higher AI maturity

A more cost-effective way forward

Historically, this kind of solution has often required large consulting projects, long implementations and extensive internal IT resources. Today there are more modern alternatives.

Exopen helps companies gather data from ERP, CRM and other business systems into a managed cloud platform where information is structured and harmonised for reporting, analysis, planning and AI. As a Microsoft partner, Exopen builds on modern cloud infrastructure with support for tools like Excel, Power BI and AI-driven workflows.

This means companies can:

• keep existing systems
• get started faster
• reduce manual work
• get a managed end-to-end solution
• avoid costly bespoke projects
• create an AI-ready data foundation

Especially for groups with multiple entities, minimal IT departments, different ERP systems or a high pace of change, this can be a far more pragmatic way to create control and scalability.

Before you change systems — ask the right questions

For many CFOs, the next step isn't yet another tool. It's about securing data quality and understanding:

• how the data connects
• which processes actually create bottlenecks
• what can be harmonised
• and which parts already work well today

In many cases, you can get much further with the right data foundation than with another system change. And that's often where the journey towards data-driven steering, faster analysis and more AI-driven ways of working begins.

Talk to Exopen and we'll help you get there.