Apache Kafka®️ 비용 절감 방법 및 최적의 비용 설계 안내 웨비나 | 자세히 알아보려면 지금 등록하세요
Frictionless Customer Onboarding
Leverage data streaming and real-time processing for event-driven microservices to instantly utilize data. Accelerate customer onboarding for quicker customer acquisition and increased revenue.
Streamline Onboarding with Real-Time Data
Customer onboarding is a multi-step process that requires instant feedback and swift transitions between stages – streaming data enables the high responsiveness and speed that customers expect.
Confluent’s data streaming platform powers real-time data flow across an event-driven microservices architecture while ensuring scalability, reliability, and efficient real-time data integration across numerous systems.
Reduce TCO with fully managed Kafka, streamlined processes, and reduced dependency on multiple systems.
Improve ROI from more efficient customer onboarding at scale.
Accelerate time to market, with new onboarding features or changes being rolled out swiftly.
Enhance customer experiences with real-time feedback loops that reduce customer drop-offs.
Build with Confluent
This use case leverages the following building blocks in Confluent Cloud.
Reference Architecture
This reference architecture shows the role of Confluent Cloud in an agile, responsive, and customer-centric onboarding process. With Kafka at the core, each microservice functions autonomously while still being harmoniously synchronized.
A variety of microservices (e.g., User Registration, Identity Verification, Credit Check, Account Creation, Welcome Kit, Notification, Customer Service) consume and produce data at each step of the onboarding process.
Data is joined and transformed as part of key steps like Identity Verification, which in the absence of real-time data can cause significant delays and customer drop-offs.
Fully managed sink connectors stream enriched data to: Salesforce CRM receives the latest enriched profile, enhancing sales and support strategies; a PostgreSQL database is updated for transactional operations; Snowflake is used for analytical modeling and insights, driving agile decision-making and a deep understanding of the customer journey.