Selbstgesteuertes Projekt
Business Analytics Sprint
Data Science · August 2026
Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis
Built an end-to-end profit investigation that framed hypotheses, mapped KPI drivers, and audited the data before analysis. Solved the core SQL tasks with correct aggregation and margin logic, identified the weakest-margin region and largest category, and translated the findings into a board-ready narrative with prioritized actions on logistics, discount control, and raw-material hedging.
Bewertet nach
- Problem Framing & Hypotheses10%
- Data Analysis & SQL30%
- Root-Cause & Forecasting25%
- Dashboard & Visualization15%
- Executive Communication & Strategy20%
Bestanden · Bestehensgrenze 60/100
Was herausstach6
- Correctly computed margin as (revenue − cost) / revenue in both SQL tasks and ordered results by margin to surface the weakest performers
- Mapped all eight KPI drivers accurately in the KPI driver map, showing strong pre-analysis structure
- Identified Asia Pacific as the weakest-margin region and Mobility as the largest category, aligning the pivots with the business story
- Validated AI output by explicitly checking the profit formula and spotting a revenue/profit labeling error
- Structural Hypothesis Framing
- Leakage-Free SQL and Margin Analysis
Meine eingereichte Arbeit16 Aufgaben
8 Aufgaben · 6.5k Zeichen · 8 Textantworten · 601 Wörter
- Hypothesis Sheet2.7k Zeichen
- KPI Driver Map174 Zeichen
- Sql Category Profit299 Zeichen
- Sql Region Join431 Zeichen
- AI Reflection256 Zeichen
- Boardroom Deck625 Zeichen
- Executive Summary996 Zeichen
- Bosch Real Case Study1.1k Zeichen
- Hypothesis Sheet175 Wörter
- KPI Driver Map1 Wort
- Sql Category Profit23 Wörter
- Sql Region Join34 Wörter
- AI Reflection34 Wörter
- Boardroom Deck45 Wörter
- Executive Summary135 Wörter
- Bosch Real Case Study154 Wörter
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