Keep e-commerce customer data current for data science

Data scientists lose up-to-date cohorts when new e-commerce customers aren't in the warehouse. Automated ingestion loads new customer records into the analytics warehouse for near-real-time models.

Overview

When new e-commerce customers don't land in the warehouse, data scientists train on stale cohorts and models degrade. This workflow streams customer records into your analytics warehouse so reports and models use near-real-time inputs, eliminating analysis gaps and preserving a clear audit trail.

Notable Features

Stream new customers to warehouse
Enrich and format customer attributes
Alert data scientists on ingest failures