Real-time pattern recognition on transaction data at scale


Recognizing patterns in transactions, such as subscriptions and other periodical bookings is valuable for our bank. We help customers becoming financial fit with these insights, but this data is also valuable for other business processes. With use of DevOps and Azure Databricks an event-driven and real-time architecture is used to run this model in production on 3 years of transaction data.

Time series