Interactive dashboards, models, and deep-dive analyses — the working artefacts behind our consulting engagements. Each one is connected to a case study so you can see the architecture, the question, and the answer side by side.
These aren't screenshots — they're the actual dashboards we built (or simplified versions of them). Click through to interact, then read the case study to understand the data architecture underneath.
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Live DOT/FMCSA KPIs — DOT reportable accidents, HOS violations, CSA score, and bus-failure-by-route — wired to the semantic layer Maria built for a state transit operator.
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Companion dashboard to the healthcare AI article — visualising feature drift, model-input integrity, and the gap between pilot and production cohorts.
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The interactive companion to the rail-data architecture article — showing schema-drift events, feed completeness, and FTA-reportable gaps across a multi-agency feed corpus.
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An LTV-weighted view of the B2B funnel — Impressions → LQL → HQL → Leads → Acquired Customers — showing CPA per cohort and the lift when optimisation pivots from raw lead count to high-LTV HQLs.