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You chose the KPI. Can you trust the report?

Trust the numbers you steer by.

Volentor helps management trust that the numbers it receives still represent what it intended to steer by.

Connect management intent to KPI, metric and data — and preserve that meaning through execution and reporting.

Reported number
12.4%
01
The trust problem
Why choosing the KPI is not enough to trust the report.
A number can be technically correct — and still not mean what management thinks it means.
Trust depends on more than data quality. It depends on whether purpose, definition, calculation and underlying information still reflect the original management intent.
Between management intent and the report, meaning travels.
Management intentWhat are we trying to understand?
KPIWhat should we steer by?
DefinitionWhat exactly does it mean?
CalculationHow should it be produced?
InformationWhat does it depend on?
ReportWhat management finally sees
A definition only creates consistency if it is understood and applied consistently.
Local interpretation, exceptions, available information and changed instructions are normal organisational realities. The solution is clarity, not blame.
02
A better management model
Start with the management question, then work toward the data.
Start with why you measure.
The terminology matters less than preserving the order and logic from management need to the information required to answer it.
WHY

What are we trying to understand?

Start with the decision, objective or business need management actually wants to support.

KPI

What should management steer by?

Choose the indicator that best represents that need — not simply the measure that happens to be available.

METRIC

What exactly does the number mean?

Make calculation, inclusion, exclusions, assumptions and exceptions explicit.

DATA

What information must exist?

Identify the data required to produce the metric reliably — and create or improve it when necessary.

Experienced professionals discussing what management needs to understand before turning to data
Data-driven starts with what exists.
Data-driving starts with what matters.
Data-driven

What can our data tell us?

Use available evidence well when making decisions.

Data-driving

What does management need to know?

Then define what should be measured, how it should be understood, and what information must therefore exist.

Management drives the definition. Data supports the decision.
Data Driving does not replace being data-driven. It adds the upstream discipline that gives good data a clearer purpose.
03
Making it practical
Preserve management intent through definition and execution.
Make the intent easier to preserve.
Volentor creates a shared management model around the numbers the organisation uses to steer.
Customer profitability
Owner
Group Controlling
Management purpose
Understand whether customer growth creates sustainable economic value — and where profitability is changing.
Definition
Contribution after directly attributable customer and service costs. One-off implementation charges excluded.
Measurement
Revenue less direct service, support and channel cost. Exceptions follow the approved rule set.
Underlying information
Revenue, servicing cost, channel cost, adjustments and customer classification.
Ownership
Responsibility is explicit and visible.
Current state
Reviewed quarterly. Changes remain traceable.
Controller working through reporting material and source information
Different roles need different things from the same model.

Trust what the number represents — not just what it says.

Management decides what matters. But management should also be able to trust that the information returning through the organisation still represents the original intent.

You do not need every calculation detail behind every KPI. You do need confidence that the KPI still serves the management need, that its meaning is clear, that responsibility is visible and that changes in the business are reflected in the management model.

The value is not more reporting. It is greater confidence that the reporting actually represents what management believes it is steering by.

For management, the outcome is trust: confidence that what you see still reflects what you intended to steer by.

Know what every number means before the meeting starts.

For the CFO and Group Controller, trust in management information is both a management issue and a practical reporting issue.

You need confidence that an important number means the same thing wherever it is produced, that the rules behind it are understood, that changes are visible and that the number can be traced back to the management intent behind it.

When questions arise, the answer should not depend on finding the one person who remembers how the measure was built. The shared model should make the reasoning visible.

For CFO and Group Controller, the outcome is confidence and traceability: a shared understanding of what the number means and what sits behind it.

Know what is expected — and why.

For the controller producing management information, the challenge often begins long before the number reaches management.

What exactly should be included? Which definition applies? How should an unusual case be treated? Has anything changed? And what is management actually trying to understand?

Context helps more than a definition in isolation. When purpose and expectations are clear, less time is spent reconstructing intent from previous reports, spreadsheets, emails or local practice.

For controllers, the outcome is clarity: clearer expectations, less interpretation and less avoidable rework.
The aim is not to document more. It is to leave less open to interpretation.
04
Keeping it trustworthy
Meaning, responsibility and expectations need to stay current as the business changes.
Meaning changes. Trust has to stay current.
Priorities move. Definitions evolve. Ownership changes. Source systems are replaced. A management model has to move with the business.
Define Use Review Improve Retire
Two experienced professionals reviewing and updating shared management definitions
Governance should reduce uncertainty — not create work for its own sake.
What do we mean? What applies today? Who is responsible? Does this still matter? Those are the questions worth maintaining.
05
The conclusion
Clear intent. Consistent execution. Meaning that stays current.
Trust the numbers you steer by.
Management defines what matters. Volentor helps preserve that meaning all the way to the report.
Want to take the thinking further?

Request the whitepaper

A deeper look at management intent, KPIs, metrics, data and the Data Driving philosophy.

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