Spark – use cases

This section is dedicated to walking the users through distinct real-life uses cases where spark is the best and obvious choice for analytical processing in the solution:

• Financial domain:
  • Fraud detection: A very important use case to all of us as credit card users, here the real-time streaming data is mapped to your persona and historical usage records through a series of complex data science prediction algorithms to choose a fraudulent from a seemingly fraudulent card transaction. In accordance, further action like allowing the payment, calling for mobile verification, blocking the transaction, and so on are taken into account.
  • Customer 360 churn and recommendation (cross-sell/up-sell): All financial institutes have hordes of data, but they struggle with maintenance aspects. Today the need of the hour is unified customer personification and correlation of all a customer's actions in realtime to further enrich data. This unified personification is being done very effectively...