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Maureva (MATIS BI / MATIS Passenger Revenue Insights) — Audited airline flown-revenue corpus: realised passenger revenue computed from the EDGAR Passenger Revenue Accounting system — the ticketed-and-flown accounting layer, not estimates — rendered as flight-level and route-level KPI history (load factor, revenue per seat-kilometre, yield, revenue passengers, sales and revenue by channel/point-of-sale), with cross-departmental trend series for Finance, Commercial, Revenue Management and Operations.. Narrow but authoritative. A ~200-person, ~$5.9M-revenue Réunion/European firm with a small air…
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Audited airline flown-revenue corpus: realised passenger revenue computed from the EDGAR Passenger Revenue Accounting system — the ticketed-and-flown accounting layer, not estimates — rendered as flight-level and route-level KPI history (load factor, revenue per seat-kilometre, yield, revenue passengers, sales and revenue by channel/point-of-sale), with cross-departmental trend series for Finance, Commercial, Revenue Management and Operations.
Scale Accounting-grain rather than web-scaleFrom 5 yearsCoverage Industrials · Financials
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Maureva (MATIS BI / MATIS Passenger Revenue Insights) — Audited airline flown-revenue corpus: realised passenger revenue computed from the EDGAR Passenger Revenue Accounting system — the ticketed-and-flown accounting layer, not estimates — rendered as flight-level and route-level KPI history (load factor, revenue per seat-kilometre, yield, revenue passengers, sales and revenue by channel/point-of-sale), with cross-departmental trend series for Finance, Commercial, Revenue Management and Operations.. Narrow but authoritative. A ~200-person, ~$5.9M-revenue Réunion/European firm with a small air…
Maureva offers (Alternative, Fundamental, Reference) — Accounting-grain rather than web-scale, but uniquely authoritative: every ticketed-and-flown transaction converted into flight-, route- and market-level KPI history for each subscribing airline. A carrier operating ~150 daily flights yields roughly 55k flight-year records per year, and the reconciliation layer additionally retains ticketing-level detail that survives into flown-vs-booked comparisons. No record count is published..
Offline evaluation and reward modelling for airline pricing/revenue-management agents (realised flown revenue as the true objective rather than booked sales); yield and RPSK forecasting model training on audited outcomes; no-show and voluntary-change behaviour models derived from ticketed-to-flown gaps; route profitability classifiers on settled economics; airline financial-forecasting models (revenue, capacity, cash) for investor and credit analytics; channel-mix and point-of-sale demand models; CFO-facing KPI-prediction and anomaly-detection models on accounting series.
The data is with 5 years of history.
Coverage spans Europe, US, UK, APAC; Passenger Airlines, Financial Exchanges & Data; alternative, fundamental, reference; equities, fixed_income.
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