Selbstgesteuertes Projekt
Business & Sponsorships — The FC Barcelona Case
Data Science · August 2026
Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis
Built a data-driven sponsorship case for FC Barcelona that connected revenue mix analysis, fan segmentation, package design, negotiation handling, and KPI reporting into one commercial recommendation. The work shows practical junior-analyst judgment: it uses computed figures to justify targeting Asia-Pacific, allocating budget to reach-led assets, and evaluating campaign performance against target.
Bewertet nach
- Business reasoning & decision quality35%
- Correct use of data25%
- Frameworks applied20%
- Communication & structure20%
Bestanden · Bestehensgrenze 55/100
Was herausstach6
- Correctly identified commercial revenue as the controllable stream and computed the 12% growth target from €300m to €392m.
- Used the fan dataset to compare regions on size, value, and engagement, then selected Asia-Pacific as the target segment with a clear rationale.
- Built a package that nearly fully deployed the €3.2M budget and favored broad-reach assets aligned to awareness goals.
- Computed KPI achievement rates correctly and identified content reach as the true laggard at 60% of target.
- Leakage-Free Commercial Segmentation
- Data-Backed KPI Evaluation
Meine eingereichte Arbeit18 Aufgaben
10 Aufgaben · 9.8k Zeichen · Python · 8 Textantworten · 611 Wörter
- Revenue Mix Compute282 Zeichen
- Revenue MixPython · 1.3k Zeichen
- Fan SegmentationPython · 1.0k Zeichen
- Fan Segmentation Note234 Zeichen
- Package Builder480 Zeichen
- Negotiation Simulator487 Zeichen
- Inbox Responses1.4k Zeichen
- KPI ScorecardPython · 1.1k Zeichen
- Mid Season Performance Summary1.1k Zeichen
- Final Recommendation2.5k Zeichen
- Revenue Mix Compute41 Wörter
- Revenue Mix101 Wörter
- Fan Segmentation53 Wörter
- Fan Segmentation Note34 Wörter
- Package Builder41 Wörter
- Negotiation Simulator69 Wörter
- Inbox Responses189 Wörter
- KPI Scorecard83 Wörter
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