Hotel Data Management

What is hotel data management and why does it go wrong?

Hotel data management is the practice of collecting, structuring and maintaining every fact about a property. For example, this includes room sizes, check-in times, pool temperature and car park height. The goal is to keep this information accurate wherever guests look. That means the hotel website, OTAs, Google and AI assistants such as ChatGPT, Perplexity and Gemini.

On average, a hotel holds more than 4,200 data points. However, many hotels keep them in spreadsheets, PMS fields and outdated web pages. As a result, errors multiply and guests, booking platforms and AI agents receive conflicting answers.

The articles in this category analyse why hotel data so often goes wrong and what it costs. They also look at Schema.org, data quality and the arrival of AI agents. Finally, Quinta’s Q-Data acts as the single source of truth. It merges and structures every data point for each hotel.