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Data-Driven Strategy & KPIs
Identify core metrics, calculate ROI, and measure true performance versus vanity metrics in high-stakes environments.
Bridge data, management, and sports business in this applied FC Barcelona case study. Act as a Junior Data Strategist at a firm in Munich, given tasks to analyze commercial revenue, segment global fanbases, and translate raw metrics into boardroom-ready recommendations. Master data storytelling, KPI tracking, and strategic negotiation to prove the ROI of a massive corporate sponsorship.
Analyze FC Barcelona's historic revenue mix in a Python environment. Compute the share of matchday, broadcasting, and commercial revenue to identify the most scalable growth lever.
Group a synthetic fanbase of 15,000+ profiles using Pandas. Segment by region, age, and engagement to identify the most valuable target audience for global sponsors.
Deconstruct the sponsorship hierarchy. Build a high-value media package balancing reach, context control, and a fixed €40M budget using value-based pricing models.
Negotiate the deal live against an AI-driven brand representative. Protect your BATNA, anchor high, and trade concessions backed by your data model.
Handle three post-deal inbox scenarios including activation planning, a PR crisis make-good, and renewal negotiations. Manage the relationship proactively.
Evaluate mid-season campaign KPIs against targets. Compute actual-vs-target percentage achievement and draft a board-ready performance summary.
Write a final, data-backed recommendation memo on whether and how to sign the sponsor, synthesizing the quantitative analysis from the entire case study.
Identify core metrics, calculate ROI, and measure true performance versus vanity metrics in high-stakes environments.
Use business intelligence principles to segment audiences by lifetime value, behavior, and strategic fit.
Translate complex analytics into compelling executive summaries and use data to anchor live corporate negotiations.