Case Study

Real-Time Customer 360 Data Platform

A hybrid streaming architecture capturing omnichannel events in real-time to provide a unified source of truth for segmentation, cohorts, and behavioral insights.

Data EngineeringKafkaDatabricksClickHouseSnowflake
Get In Touch
Customer 360 Data Platform

The Challenge

The client struggled with fragmented customer data across multiple channels, leading to inconsistent customer experiences and missed personalization opportunities. Traditional batch processing couldn't keep up with real-time customer interactions, resulting in outdated insights and delayed marketing responses.

Our Solution

We built a real-time customer data platform with hybrid streaming architecture

Unified Customer Profile

Created comprehensive 360-degree customer profiles combining transactional, behavioral, and demographic data from all touchpoints.

Real-Time Streaming

Implemented Kafka-based streaming architecture for instant data capture and processing of customer events across channels.

Behavioral Analytics

Built advanced analytics engine for real-time segmentation, cohort analysis, and predictive behavioral modeling.

Omnichannel Integration

Developed seamless integration with web, mobile, email, and offline channels for complete customer journey tracking.

Results & Impact

40%
Increase in Conversion
60%
Faster Insights
25M+
Events Processed Daily

Technology Stack

Modern data streaming and analytics technologies

Kafka
Streaming
Databricks
Analytics
ClickHouse
Real-time DB
Snowflake
Data Warehouse