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Solution

Data structuring for decision-making

I turn business questions into reliable metrics, the right grain, and an analytical narrative that supports executive committees.

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Problem it solves

Leaders see conflicting numbers, ownerless KPIs, or reports that do not answer the original business question.

How I work

Lean sponsor interviews, decision-to-data mapping, metric design, and implementation in a semantic layer or analytical tables.

Expected outcome

Accepted definitions, less cross-team rework, and reports carrying one version of the truth per topic.

Ideal profile

Leadership, controllership, and business heads who need aligned indicators before scaling technology.

Benefits

  • Less debate on "which number is correct"
  • Faster decisions with shared context

Typical deliverables

  • • KPI map and initial dictionary
  • • Data model / measure prototype
  • • Evolution plan (data + visuals)