Two visualization exercises on public data, built by the team. They are not client projects: we publish them because they can be opened, touched and filtered, and that says more about how we work than a screenshot would.
A century of stages, teams and times. It shows how a stage race gets modeled: a hierarchy of year, stage and rider, cumulative measures and comparison across editions.
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Every edition of the tournament. The interesting exercise here is the irregular time dimension — there is no World Cup every year — and national teams that change name or cease to exist.
This dashboard is served from Power BI, a Microsoft service.
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You can also open it directly in Power BI.
Real Scitis work sits under confidentiality agreements: we cannot publish a client's margin dashboard. Sports data has the same structural complexity — hierarchies, irregular time series, entities that change over the years — and it can be shown. What you see here is the same modeling we apply to a supply chain or a receivables portfolio.
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