Real-Time Customer 360s
Create meaningful customer engagement with a complete, real-time view of your customers
Customer 360
Understanding how customers interact with your organization across every channel is essential to delivering the best customer experience. What makes this hard is the difficulty in accessing and analyzing the most up-to-date customer data. Using Rockset, you can analyze all relevant customer data quickly and simply in a real-time customer 360, so you can respond to customer events as they happen.
Customer 360 Use Cases
Retail
Generate unified customer profiles in real time from in-store, web, app and social media data. Deliver a consistent, compelling customer experience across all channels to drive marketing effectiveness and revenue.Manufacturing
Combine data from multiple customer touchpoints with real-time product usage and quality data. Increase cross-sell opportunities while proactively reducing customer churn.Support
Equip customer support teams with comprehensive views of the customer based on their latest activity. Reduce time to resolution for customer issues and make your customers more successful.
Why Rockset
Why Customer 360s Are Hard
How Rockset Makes It Easy
Why Customer 360s Are Hard
How Rockset Makes It Easy
Core Features
Schemaless Ingestion
Ingest semi-structured, nested data without requiring a fixed schema. Rockset automatically infers the schema, so you can run queries without performing any transformation.
Built-In Data Connectors
Set up continuous ingestion from common data sources, like MongoDB, DynamoDB, Kafka and S3, in a plug-and play manner. New data is reflected in Rockset in seconds.
SQL with JOINs
Join multiple data sets for analysis. Rockset supports full-featured SQL, enabling complex search, aggregation and join queries.
Converged Index™
Rockset automatically builds search, columnar and row indexes on your data to deliver fast queries at scale.
Resources
Real-time customer 360 on Kafka, MongoDB data
A step-by-step guide to building a real-time customer 360 using seconds-old purchase data from MongoDB and marketing data from Kafka.
Read moreFrom batch to real-time user engagement
Companies need to embrace real-time analytics to compete and survive. Only those that have invested in a real-time data stack will thrive.
Read moreAnalyzing consumer behavior in real time
Fynd uses Rockset to perform fast queries on real-time Kafka event streams, so they can react to consumer behavior as it happens.
Read moreSchemaless ingest and auto schematization
Rockset's schemaless SQL platform automatically infers schema at read time, allowing you to analyze messy data using SQL.
Read moreConverged Index™ for blazing-fast queries
Rockset automatically builds search, columnar, and row-based indexes on every field of the data it ingests to accelerate different types of queries.
Read moreReal-time analytics on Kafka data
Connect Kafka and Rockset to obtain real-time analytics with ad hoc SQL queries on event streams.
Read moreCustomers
Real-Time Analytics At Lightning Speed