Unifying data and ML enriches customer experiences at scale
With Databricks’ help, MakeMyTrip developed Feature Store, an internal unified data analytics platform that helps them build reliable data pipelines, simplify featurization and accelerate model training. This enabled MakeMyTrip to enjoy actionable insights into what their customers want, at scale, so they can drive richer, personalized online experiences.
Delta Lake brought reliability to MakeMyTrip’s data lakes and facilitated the accurate analysis of data. Tapping on Apache SparkTM, they are now able to unify streaming and batch data with ease. MakeMyTrip can now easily ingest, extract and transform millions of user-generated signals into a unified data repository that’s a single source of truth for featurization and model training.
“Delta Lake allows us to create a common data model, no matter the data source,” explained Piyush. “This allows us to more easily stitch data together for downstream pipelines.”
Partnering with Databricks enabled MakeMyTrip to expedite the deployment and orchestration of its data lake. Furthermore, the segregation of computing, storing and running streaming jobs became more efficient within the new Databricks Spark Runtime environment.
MakeMyTrip’s teams also enjoy greater cross-team collaboration through synchronized access to the same customer data streams via interactive notebooks. This, in turn, enables MakeMyTrip to deliver more innovations quicker to enhance customer experiences.
More importantly, the Databricks Data Intelligence Platform prepared MakeMyTrip for growth.
“Databricks consolidates all user data so that our teams can have a single, unified view for richer insights. The beauty is that it’s scalable, without limitations, and highly capable of handling a quantum amount of data,” said Piyush.
With a complete view into their customers, they are able to execute more impactful marketing campaigns to improve customer lifetime value by delivering the right message to the right customer through the right channels.