Ski Resorts eReputation

Identify the strengths and weaknesses of competing resorts and strengthen your offer.

Benefit from a complete benchmark of the largest Alpine ski resorts

Identify the strengths and weaknesses of your resort as well as the competition

Evaluate the impact of your action plan on the user experience

With which tools?

With automated data collection and consolidation

Analyze your user experience through a variety of sources (review, comparison and booking sites, social networks, etc.).
With the identification and classification of user feedback

Thanks to the sentiment analysis study (developed with the help of the LETTRIA API) and thanks to precise filters, isolate each source of satisfaction or dissatisfaction and adapt your corrective actions.
With rankings and performance indexes

Thanks to a benchmark of the different stations, identify your strengths and weaknesses as well as those of your competitors. Map this data in a fully customizable repository and make it easy to compare and understand.

Request a demo

Last name*

Company*

Email*

Phone*

Country*

*Required fields

This site is protected by reCAPTCHA and by the Google system.

Are you an expert? Login

Our publications

- Financial Services & Compliance

Boosting search engine capabilities of RegReview:…

RegReview is an AI solution for compliance teams, to automate regulatory monitoring and processes, which brings together several tools, the most essential of which is a search engine operating on a compiled database of custom-built regulatory sources.

The database contains ~300k documents.

2023

- Government

Labeling text clusters with keywords

We propose to explore several keyword extraction techniques to label text clusters obtained after a Text Clustering or a Topic Modeling pipeline. This work is following our previous articles about Topic Modeling and Text Clustering (here and here).

2023

- Financial Services & Compliance

Synthetic data or how to share sensitive data…

For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
But what's the point of creating fake data? How could it help organizations?

2023

See our publications