Introducing Streamhouse: the open data architecture for AI | Learn More
User-facing Analytics
Deliver engaging user experiences based on real-time product usage data. Build live dashboards and leaderboards, personalize app and web experiences, feed your AI models in real-time, prevent fraud and anomalous behavior, and much more.
Deliver engaging user experiences based on real-time product usage data
User-facing analytics (also called "customer-facing analytics”) is the pattern of embedding real-time data visualizations or data-driven features into software applications. You’ll implement user-facing analytics if you offer a software service and want to use real-time product usage data to deliver features tailored to your end users.
Capture data about user interactions within an application, send that data to an analytics platform, and build metrics that are then served back to the user as dashboards or features.
Deliver better customer experiences
Use real-time customer data to personalize your application or website for customers.
Improve speed to insight.
Provide live information about how customers are using your application.
Fuel advanced scenarios.
Use real-time customer data to power AI experiences, fraud and anomaly detection, and more.
Build with Confluent
This use case leverages the following building blocks in Confluent Cloud:
Reference Architecture
Send all relevant backend data to your streaming architecture and process with serverless Apache Flink®
Build storage systems for streaming data
Ingest data from Confluent in real-time, configured directly within Tinybird
Ingest data from data warehouses and application databases, configured directly within Tinybird
Write SQL queries to shape and transform data in Tinybird, combining data sources with ease, and consume the APIs from within your applications
Resources
Start Building
Sign up for a free Tinybird account and start building today