As one of the world’s largest airlines, China Eastern constantly explores emerging technologies to identify new ways of improving customer experience and reducing cost. China Eastern Airlines uses the MongoDB Connector for Apache Spark in its new fare calculation engine, serving 1.6 billion queries per day.
Qumram, exposes user session data stored in MongoDB to Spark's machine learning processes to help global financial institutions detect fraud through behavioral analytics, and to apply deep learning techniques for sentiment analysis with Natural Language Processing.
Stratio implemented its Pure Spark big data platform, combining MongoDB with Apache Spark, Zeppelin, and Kafka, to build an operational data lake for Mutua Madrileña, one of Spain’s largest insurance companies. Machine learning models are built to personalize the customer experience, with analysis of marketing campaign data to measure impact and improve performance.
A global airline has consolidated customer data scattered across more than 100 systems into a single view stored in MongoDB. Spark processes are run against the live operational data in MongoDB to update customer classifications and personalize offers in real time, as the customer is live on the web or speaking with the call center.