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Something doesn't quite add up.
What does the evidence really support?

Independent Data & Evidence Investigation — examining the data, statistical reasoning and evidence behind important questions, claims and conclusions.

When the answer matters, the evidence needs to hold up.

An unresolved problem. A suspected root cause. A critical customer complaint. An apparent improvement claim. Or a disputed explanation.

The new method improved line efficiency by 13%. The investment increased OEE by 5,6%. A marketing campaign increased sales by 9%. The supplier caused the variation. Process capability improved versus last year. The number of customer complaints decreased since last week.

— All claims. But how solid are they?

What do the data really show?
Is the apparent pattern a real signal or just routine variation?
Does the claimed root cause actually follow from the evidence?
Are the statistical analysis and reasoning sound?
Are important assumptions or alternative explanations being overlooked?

FactWise independently investigates the data, statistical reasoning and evidence behind important questions, claims and conclusions — to clarify what holds up, what does not, and what is still missing.

What does the evidence really support?

Why this matters

Flaws can arise anywhere between the data, analysis, reasoning and conclusion — through incomplete data, unreliable measurements, poor comparisons, untested assumptions or overconfident interpretation.

When the stakes are high, getting it wrong can lead to poor decisions, wasted effort, financial loss or loss of credibility.

What FactWise investigates

Depending on the question, the investigation may examine:

  • Data and measurement — origin, definitions, completeness, reliability and consistency over time
  • Variation and patterns — signal versus noise, trends, averages, anomalies and unusual behaviour
  • Statistical analysis — appropriateness of methods, robustness, uncertainty and practical relevance
  • Assumptions and alternative explanations — what may have been overlooked, selectively interpreted or taken for granted
  • Statistical reasoning — whether the interpretation follows from the data and whether cause-and-effect conclusions are justified
  • The overall evidence — what supports the conclusion, what contradicts it, and what is still missing

The purpose is to trace the reasoning from the original question to the final conclusion and identify where the facts, data and evidence support the claim — and where they do not.

Three reasons to involve FactWise

An important question remains unsolved

A recurring quality or performance issue continues despite previous investigation or corrective action. The available facts do not yet form a convincing whole.

Typical situations include:

• recurring defects or complaints where the explanation remains unclear,
• repeated root-cause analyses without lasting resolution,
• unexplained changes in a KPI or performance measure,
• conflicting interpretations about what is actually driving the problem.

Something in the data needs investigation

An unexpected pattern, shift, anomaly or relationship appears in the data, but its meaning is unclear. The numbers suggest that something may be happening, but not yet what it means or why.

Typical situations include:

• an unusual spike, drop or shift appears in a KPI or process measure,
• a pattern emerges that does not fit normal behaviour,
• different periods, sites, products or groups show unexpected differences,
• an outlier or irregular observation may contain an important clue,
• several variables appear related, but the relationship is not yet understood.

A conclusion needs independent scrutiny

An explanation, root cause or claimed improvement may influence an important decision and needs to withstand closer examination.

Typical questions include:

• Did the intervention really cause the improvement?
• Does the evidence establish the claimed root cause?
• Is the observed change meaningful or could it be routine variation?
• Does the available data support attributing the issue to a supplier, material or process step?
• Are alternative explanations still plausible?
• How confidently can the conclusion actually be stated?

FactWise investigates the question and its context, analyses the data and available evidence, and assesses the statistical reasoning and underlying assumptions. This clarifies which findings and conclusions hold up, which do not, what is still missing, and what the appropriate next steps are.

What you gain

A clear, documented judgement of what the evidence can and cannot support

✅ A structured investigation summary highlighting weaknesses, gaps and risk areas
✅ A clear distinction between meaningful signal, routine variation and uncertainty
✅ Documented assumptions, limitations, and where the conclusions do and do not hold
✅ Practical recommendations for strengthening the evidence
✅ A written report for internal discussion, stakeholders or compliance purposes

What clients say

“During our collaboration at Bekaert, I came to know Luc as a highly structured and analytically strong professional, with a sharp eye for the correct interpretation of data and facts. He has the ability to clearly dissect complex quality and performance-related issues, bringing calmness, nuance, and solid reasoning to situations where quick conclusions can often be misleading. It is precisely this combination of critical analysis and sound judgement that makes his approach particularly valuable.”

Patrick De Keyzer— Former SVP Technology Bekaert Steelcord

Have a question worth investigating?

If something important does not quite add up, or a conclusion needs to withstand scrutiny, an independent investigation can help clarify what the available evidence actually supports.

Discuss your case or reach out directly at info@factwise.be