See how a Fortune 500 bank used advanced analytics to identify “next-best-action” for effective upselling and customer retention.
Customers are the new market makers, challenging traditional industry dynamics, and transforming how businesses compete. To determine the most relevant offer for each customer, enterprises need actionable insights on their past transactions, current interests, and potential needs.
In this session, we share on-ground example of how a leading bank used cutting-edge data integration and machine learning approaches to improve and scale their marketing efforts.
You will learn how to:
- Using modern data platform to collect, connect and activate customer data
- Unlock machine learning & real-time analytics capabilities to create an edge
- Identify upsell and customer retention opportunities with high-precision
- Send the right offer to the right customer at the right time
The only all-in-one data pipeline platform
- One platform to do it all - ETL, ELT, ingestion, CDC, ML
- Self Service, zero-code, drag and drop interface
- Built-in DataOps, MLOps, and DevOps tools
- Cloud-agnostic and interoperable