Case Study: Japan Airlines Uses Predictive Analytics to Strive for Zero Delays

Japan Airlines performs the maintenance of aircraft owned by the JAL Group. As firm believers in the power of using data, they employed dotData’s unique and powerful Programmatic Feature Discovery platform to build failure prediction models for their aircraft in an effort to reduce flight delays and cancellations. Download the full case study today to learn:

• How dotData’s  programmatic feature discovery helped augment existing knowledge
• How they identified critical patterns to detect signs of failure.
• Read how they leveraged feature discovery based on sampling data.

Download our complimentary case study today.