Selbstgesteuertes Projekt
Business Analytics Sprint
Data Science · September 2026
Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis
Built an end-to-end profitability investigation that framed the problem with structured hypotheses, mapped KPI drivers accurately, and translated the findings into board-ready recommendations. The work shows strong business analysis instincts, especially in isolating raw-material inflation, logistics inefficiency, and discounting as the main margin pressures, and in defending a profitable-growth strategy for Asia with concrete margin and discount evidence.
Bewertet nach
- Problem Framing & Hypotheses10%
- Data Analysis & SQL30%
- Root-Cause & Forecasting25%
- Dashboard & Visualization15%
- Executive Communication & Strategy20%
Bestanden · Bestehensgrenze 60/100
Was herausstach6
- Built a clear hypothesis set around raw-material inflation, discounting, and logistics rather than guessing randomly
- Mapped all KPI drivers correctly in the driver tree, showing strong structural understanding
- Identified the key business paradox with concrete numbers: revenue up 17% while profit fell 55% and margin dropped from 13.4% to 5.2%
- Used the Asia margin and discount figures to defend a nuanced profitable-growth recommendation
- Structured Hypothesis Formation
- KPI Driver Mapping
Meine eingereichte Arbeit20 Aufgaben
12 Aufgaben · 5.0k Zeichen · 8 Textantworten · 265 Wörter
- Hypothesis Sheet970 Zeichen
- KPI Driver Map174 Zeichen
- Week1 Update476 Zeichen
- Sql Category Profit310 Zeichen
- Sql Region Join359 Zeichen
- Root Causes158 Zeichen
- Forecast277 Zeichen
- Data Audit100 Zeichen
- AI Reflection247 Zeichen
- Recommendations645 Zeichen
- Boardroom Deck616 Zeichen
- Stakeholder Qa678 Zeichen
- Hypothesis Sheet112 Wörter
- KPI Driver Map1 Wort
- Week1 Update64 Wörter
- Sql Category Profit32 Wörter
- Sql Region Join41 Wörter
- Root Causes5 Wörter
- Forecast6 Wörter
- Data Audit4 Wörter
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