Hotel data analytics · Kolonaki, Athens

Every day without data = lost revenue.

Your hospitality is first-class. Let's make your data just as strong.

  • 15 questions
  • 4 minutes
  • No commitment
Sample dashboard: this season's booking pace against last year's, with a forecast for the coming weeks and an alert when bookings fall behind.

The same expertise, from boutique hotels to companies at the core of the Greek economy

  • TITAN
  • ELPEN
  • Plaisio
  • Katradis
  • Anemos
  • Cavo Yachting

We didn't pick you at random. The data did.

Datanest's Hotel Targets Model scores Greek hotel companies on public financial data: revenue, EBITDA margin and absolute EBITDA, and location.

That's how we reach the hotels with the most to gain from their data first, with analysis rather than mass emails. We show the method, never names.

  1. 1,182

    hotel companies €1–50m revenue

  2. 902

    profitable EBITDA margin above 15%

  3. 100

    top priority score of 85/100 or higher

  4. you?

    Where does your hotel stand? The diagnostic shows you in 4 minutes.

Source: Datanest's Hotel Targets Model, public data from the Greek business registry (GEMI).

The data is there. Its value is leaking away.

Four places where a hotel quietly loses revenue.

  • Off-season without a forecast

    The low season is handled reactively. Rates and costs change after the problem shows up, not before.

  • 15–25%

    OTA commission on every booking

    It goes to Booking and Expedia and never shows clearly in the P&L. Do you see net profit per channel, or only revenue?

  • Flat pricing on local peaks

    Events, conferences and holidays push demand up locally. If your rate doesn't follow, every one of those nights leaves money on the table.

  • Scattered data

    PMS, OTAs, F&B and accounting in separate systems. No single view when you need to make a fast decision.

3 phases. 3 changes you can measure in revenue.

Every phase delivers something you use right away. We start with forecasting because pricing and channel mix are built on it.

  1. 01

    Demand Forecasting

    Know demand 8 weeks ahead

    A time-series model and a live Power BI dashboard with booking pace, pick-up rate and early-warning alerts.

    Phase 1 · 4 weeks

  2. 02

    Dynamic Pricing

    Your rate works for you, not against you

    A pricing model driven by demand, local events and competitor rates. A recommended rate per room, per night.

    Phase 2 · +4 weeks

  3. 03

    Channel Mix & Guest Profitability

    Know your real profit per channel

    Net revenue per OTA versus direct, guest segmentation, and a strategy to shift bookings to direct.

    Phase 3 · +8 weeks

See the three value levers for hotels

We've done it before.

Hera Hotel, Athens

Forecasting demand for the off-season

What we built

  • Analysis of 4+ years of booking data: lead time, cancellations, seasonality
  • A time-series model forecasting demand week by week
  • Off-season patterns: when, and at what rate, to open offers
  • A live Power BI dashboard with booking pace and pick-up alerts
See the case studies

Datanest transformed how we approach our off-season strategy. By understanding booking patterns, we've increased our occupancy rates significantly.

Iro ChatziliaCEO, Hera Hotel

Plaisio Group

We build the data systems Plaisio Group relies on.

Enterprise-scale business intelligence with millions of records and complex predictive models. The same expertise, sized for your business.

data scale
Enterprise
records in production
Millions
plus predictive models
Power BI
active project
2024–2026

Not a freelancer. Not a traditional IT firm.

  • Specialisation

    “We don't learn at your expense”

    We know the specifics of hospitality and service businesses in depth. No off-the-shelf templates: every dashboard and model is built around how you actually operate.

  • Speed

    “Weeks, not months”

    No months-long IT projects that cost without delivering. Phase one is delivered in 4 weeks.

  • Independence

    “We train your team to run it themselves”

    Your team runs the dashboards on its own. We stay with you as the business grows.

Tools:Power BIPythonSQLMachine Learning

An honest diagnosis of your data

We don't believe in blind promises. The goal is to see together whether, and where, your hotel has real room to improve.

  1. 01

    Data Readiness Scorecard (4')

    Answer 15 questions and see right away how data-ready your hotel is.

  2. 02

    A draft plan for the 3 phases

    We map how forecasting, pricing and channel mix apply to your hotel.

  3. 03

    A 10-minute call

    We walk you through the findings. No commitment.