Think about the last time you went to book travel online. Do you remember the number of searches you conducted? Options you compared? Transactions you made? You probably are not aware of the terabytes of data you have created from your search that the online travel platform you are using has to process. Like most end users you are just interested in a tool that is easy to use and produces fast results.
Pentaho customer, TravelTainment is very familiar with this use case as a leading provider of software solutions for the travel industry. TravelTainment’s solutions are integrated with major international travel portals across Europe such as opodo.de, tui.de, expedia.co.uk and thomascook.fr, as well as thousands of travel agencies in more than 30 countries.
With the continually booming online travel market, TravelTainment’s different clients such as tour operators and travel portals, require more insight into their data and reporting to help them plan promotions and other services. Before using Pentaho, the company had acquired a set of legacy systems that had grown around individual products with only limited reporting capabilities. As a result, reporting was inefficient and time consuming for IT.
TravelTainment chose Pentaho Business Analytics for its self-service reporting and ability to manage big data sets. It enables enrichment, reporting, analysis and visualization of TravelTainments very large data volumes in such a way that also non-technical users can easily understand them. With the new solution, the company runs reports three times faster and with more flexibility than before and can now, for the first time, offer its clients user-friendly, self-service and ad-hoc reporting services. This also means that TravelTainment’s developer team can fully concentrate on its main business, rather than having to serve as a service desk for reporting.
TravelTainment is using Pentaho for reasons beyond it being open source-friendly. They are using it with their big data environment, which includes Apache Hadoop MapReduce, and for low-latency data access they are using Apache HBase. For detailed data they are using Infobright as an SQL-based self-service interface. They are now planning to use Pentaho Data Integration to easily load, process, and extract data in Apache Hadoop.
“Pentaho Business Analytics fits perfectly into our open source Big Data environment. The outstanding self-service analytics and reporting capabilities help TravelTainment build out expertise and offer better reporting services to our customers.”
— Ibrahim Husseini, Director of Data Warehouse, TravelTainment
Read the press release and full case study about TravelTainments use of Pentaho at http://www.pentaho.com/customers/67/traveltainment.