Do you have a reporting problem or actually a data problem?

Reporting takes too long. Figures need to be checked manually. Excel files are sent back and forth. Different parts of the organization show different versions of the same KPI.

The natural conclusion is often that the company needs a better reporting tool.

But what if the problem is actually somewhere else entirely?

For many CFOs and finance functions, reporting is just where an underlying data problem becomes visible.

If financial and operational data is scattered across various ERP systems, CRM platforms, project systems, and Excel models, even a modern reporting tool will struggle to provide the control the business needs.

Do you recognize this situation?

The month's report needs to be compiled.

Data is exported from the financial system. Information is supplemented from CRM. A subsidiary sends its Excel file. Figures need manual correction, and someone discovers that the same KPI is not calculated consistently everywhere.

Eventually, the report is there.

But much of the finance department's time has been spent creating and quality-assuring the numbers instead of analyzing them.

The result is often:

• manual exports and compilations
• different versions of the same KPI
• long reporting cycles
• weak traceability
• person-dependent processes
• low trust in decision support data

It looks like a reporting problem. But often, it's a data problem.

A prettier dashboard doesn't solve the underlying data issues

When reporting isn't working, many companies start looking at new BI, FP&A, or reporting tools.

That might be absolutely right. But first, you need to understand why current reporting isn't working.

If two ERP systems use different chart of accounts, the information needs to be harmonized. If companies define the same KPI in different ways, a common logic is needed. If information is copied between systems, the data flow needs to be automated.

None of this automatically disappears just because the visualization on top of the data improves.

The business doesn't stand still

The problem becomes particularly evident in fast-changing companies.

A new company is acquired. An ERP system is added. Management wants to track a new KPI. The budget is adjusted. The organization changes.

Therefore, the data foundation not only needs to meet today's reporting needs. It must be able to evolve with the business without losing quality and control.

Excel is rarely the real problem

Excel often gets the blame when reporting involves a lot of manual work.

However, for many finance functions, Excel remains one of the most powerful tools for reporting, analysis, budgeting, and follow-up.

The problem arises when Excel also has to function as an integration engine, a database, and a place for manual quality assurance.

With a common and quality-assured data foundation, the finance function can continue to work flexibly in Excel without manually collecting and checking information before each report.

The same data can simultaneously be used in Power BI, planning, reporting, and AI.

Start beneath the reporting layer

A better starting point is therefore to first review how the data behind the reporting functions.

• Where do the numbers come from?
• How are different systems integrated?
• How is data harmonized between companies?
• Are there common definitions for KPIs?
• Can users drill down from a reported figure to underlying transactions?

Once the structure is in place, the conditions are created for:

• faster reporting
• better data quality and traceability
• fewer manual steps
• simpler group reporting
• more flexible KPI management
• better decision support
• a data foundation ready for AI

From fragmented data to a common financial model

Exopen helps companies collect financial and operational data from ERP, CRM, and other business systems into a common, managed cloud platform.

Instead of replacing existing systems, a common layer is created where financial data is structured, harmonized, and quality-assured. Data from various ERP systems can, for example, be mapped to a common financial model and used for reporting and analysis across company and system boundaries.

The business can simultaneously continue to work in familiar tools like Excel and Power BI.

As a Microsoft partner, Exopen is built on Microsoft Azure and offers managed integrations that include monitoring and ongoing management of data flows.

For groups with multiple companies, different ERP systems, limited IT resources, or a high pace of change, this can be a pragmatic way to create better control without building and managing the entire data solution internally.

Before changing reporting systems, ask the right questions

If reporting is slow, manual, or difficult to trust, the solution doesn't automatically have to be a new reporting tool.

Instead, ask:

• Is the problem how we present the numbers or how we obtain them?
• Do we have a common structure for our financial data?
• Can we trust that the same KPI means the same thing across the entire organization?
• How much time does the finance function spend moving and checking data?

Sometimes you have a reporting problem. But very often, the problem starts long before the report is created.

Talk to Exopen, and we'll help you identify whether the bottleneck is in reporting or in the data behind it.