Holen Sie sich die neuesten Updates von Hortonworks per E-Mail

Einmal monatlich erhalten Sie die neuesten Erkenntnisse, Trends und Analysen sowie Fachwissen zu Big Data.


Sign up for the Developers Newsletter

Einmal monatlich erhalten Sie die neuesten Erkenntnisse, Trends und Analysen sowie Fachwissen zu Big Data.


Erste Schritte


Sind Sie bereit?

Sandbox herunterladen

Wie können wir Ihnen helfen?

* Ich habe verstanden, dass ich mich jederzeit abmelden kann. Außerdem akzeptiere ich die weiteren Angaben in der Datenschutzrichtlinie von Hortonworks.
SchließenSchaltfläche „Schließen“
Hortonworks Customer


DHISCO is a 27-year-old company created by hotel chains to route the transactions between online travel agents and hotels. They process about 15 billion transactions per month in milliseconds, including hotel room bookings.

Business Challenge

The primary data challenge in the hospitality industry is legacy data. Traditionally, the hospitality industry hasn’t embraced advanced analytics, so companies were operating without the necessary data to make the most informed decisions. DHISCO has become a pioneer in the industry, leveraging Hortonworks solutions to improve their business.


With Hortonworks Data Platform, the company has developed an innovative and reliable distribution technology to track bookings, rates, availability and hotel content which has driven new business insights and increased revenue.

One example of this is what DHISCO calls their “look to book patterns,” which is how many times a particular brand, chain, or hotel has to be shopped before a customer ends up booking a room. This ratio tends to be large, and a major focus of hotel brands is to drive that number down.


Now DHISCO can consume more data at a much faster rate. This helps them provide a more complete picture, of both their own business and fresh insights their customers have never seen before. Now they better understand customer booking patterns, the volume of requests, and the yield of those bookings.

DHISCO can now see their customers’ shopping patterns in ways that weren’t accessible before. This leads to the ability to track and configure certain rate plans between travel agents and hotel chains. One such example led to an 85% increase in bookings.