Case study 01

From twelve scattered systems to one data platform

A complete cloud BI & data platform for More Sailing — a Swedish sailing-tour and yacht-charter company — from ingestion to ML-powered forecasting.

Client
More Sailing AB
Sector
Travel · Sailing & Charter
Focus
Data platform · BI · Forecasting
The challenge

Bookings, charter fleet, accounting, ads in six markets, CRM, SEO, courses and surveys — every answer lived in a different system.

More Sailing runs two business lines — guided sailing trips and yacht-charter brokerage — on top of a dozen operational tools. Reporting meant logging into each one, exporting, and stitching numbers together by hand. There was no single source of truth, no reliable view of occupancy or marketing return, and no way to forecast the season ahead.

The brief: unify everything in one warehouse, keep it automatically fresh, and make it decision-ready for a seasonal, dynamically-priced business.

Data sources
Charter fleet · tour bookings · accounting · ad platforms · web analytics · CRM · SEO · courses · surveys · budgets & FX
Ad markets
SE · DE · NO · UK · DK · FI
Before
Manual exports, fragmented reporting, no forecasting
The solution

An automated data & warehouse platform in the cloud

A fully automated ingestion and forecasting platform, scheduled around the clock, unifying 12+ sources in one central warehouse — roughly 44,000 lines of code across 360+ modules, flowing raw → enhanced → curated → analytics.

Custom connectors

Hand-built integrations for nine systems — fleet, bookings, accounting, ads, SEO, courses, surveys — plus curation of managed web-analytics, CRM and social-ads feeds.

Reliability engineering

Incremental, history-preserving loads with concurrency guards, atomic writes, automatic schema handling and backfill jobs.

Executive dashboards

Bookings, sales, charter occupancy, marketing performance and budget-vs-actual — powered by pre-aggregated, dashboard-ready KPI tables.

ML forecasting

Machine-learning models forecasting revenue, capacity, occupancy and currency for the season ahead.

Booking-curve pipeline

Statistical models of bookings and sales value by departure and creation date, with confidence intervals and residual evaluation.

Competitor visibility

Ingestion of agency fleet data puts More Sailing's pricing and availability side-by-side with the competition.

The outcome

One source of truth, always fresh, forecast-ready

12+
data sources unified in one central warehouse
4-layer
curated pipeline from raw data to analytics-ready KPI tables
2026
season forecast with machine-learning models
Automated ingestionCloud data warehouseKPI dashboardsML forecastingData qualityCompetitor insight

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