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FP&A Explainer
How do you create a single source of truth in financial data?

FP&A Explainer

How do you create a single source of truth in financial data?

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A single source of truth in financial data emerges when definitions, assumptions, and changes are clear and traceable. It’s a way of working - not a single system.

Why the lack of a single source of truth is a widespread problem

A lack of a single source of truth is rarely about the numbers being “wrong.” Rather, it stems from the fact that they are produced in different contexts, based on different assumptions, and across different systems—without that being clear to everyone.

In many organizations, planning evolves gradually. New systems are introduced, local adjustments are made, and Excel models continue to exist alongside them. Each part may work well on its own—but the overall picture becomes difficult to grasp.

Three common causes stand out:

  • ‍Data is spread across multiple systems
    ‍    Transactions reside in the ERP system, forecasts in another tool, and analyses in Excel. When information is extracted, adjusted, and combined manually, discrepancies inevitably arise—even when the intent is aligned.
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  • ‍Definitions are interpreted differently
    What qualifies as “revenue”? What is included in “cost”? Is the forecast before or after adjustments? When definitions are not documented and consistently agreed upon, parallel interpretations emerge.
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  • ‍Assumptions change without traceability
    Forecasts are built on assumptions. When these change without clarity on who made the change—and why—trust erodes. The discussion shifts from strategic choices to version control.

Implications for decision-making and trust

When different numbers are used in different forums, meetings tend to become debates about the numbers rather than decisions. This affects both the role of the finance function and the organization’s ability to act quickly.
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Related questions in FP&A Explainer

Frequently asked questions about FP&A and financial management

What happens to decision-making when the organization lacks a single source of truth in financial data?
Meetings turn into debates about which number is correct, instead of discussions about strategic direction. The finance department gets bogged down in explaining and defending data, rather than contributing analysis. The ability to make quick, well-informed decisions diminishes as confidence in the underlying data decreases.
What is single source of truth?
Single source of truth is the principle that all data within a given domain should originate from a single, authoritative source. In financial planning, this means that budget, forecast, and actuals are sourced from the same system with the same definitions, so that different parts of the organization work with identical figures.
What is a data silo and why is it a problem?
A data silo arises when information is stored in separate systems or departments without being shared or synchronized. In financial planning, this leads to transactions residing in the ERP system, forecasts in another tool, and analyses in Excel, making it difficult to get a cohesive picture.
What does data quality mean in financial planning?
Data quality in financial planning is about ensuring that numbers are accurate, consistent, and traceable. It requires clear definitions of what is being measured, documented assumptions, and a process where changes are logged so that everyone knows what applies and why.

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