More than ever, the financial industry needs real-time insights delivered through internal and external analytics applications to stay competitive. Apache Druid and Imply are designed to provide the flexibility, efficiency, and resilience needed to support your analytics applications at scale for streaming and batch data. With Apache Druid and Imply, leading financial institutes and fintechs like Paypal, DBS, Paytm, and many more drive business values with innovative use cases, which we will explore in this talk.
Key takeaways:
- Key challenges for building analytics architecture for scale
- How Druid and Imply enable Paytm to gain real-time insights for the growth team to drive revenue growth
- How Fintechs drive extra revenue with data applications powered by Druid and Imply
- How Druid and Imply enable you to minimize revenue lost by delivering real-time insights
- How to reduce fraud with real-time fraud processing, fraud analytics, and fraud notifications