Customer 360 Data Warehouse: How to Combine CRM, Billing and Support Data
Watch Centerprise AI build a unified customer warehouse from CRM, billing, support, and product usage data, with the architecture and loading pipelines generated from a single chat.
This demo walks through a real data warehousing scenario: customer data is split across Salesforce, Stripe, Zendesk, and product usage systems, and answering “how healthy is this customer?” means joining all of them. See how the agent reads each source, designs a unified staging model and a dimensional model, builds the loading pipelines, and schedules everything to run automatically.
What this video covers:
- Describing sources, facts, dimensions, and SCD types in a requirements file
- Reverse engineering every source system into a data model from its connection metadata
- Combining Customers (Stripe), Users (Zendesk), and Contacts (Salesforce) into one unified staging table
- Generating a dimensional model with a customer dimension and fact tables for billing, support, and product activity
- Building the loading pipelines that move data from each system into staging and fact tables
- Reviewing and approving the design, then scheduling deterministic, hands-off refreshes
The result is a single customer view built from four systems and kept in sync automatically.
Book a demo: https://get.astera.com/centerprise/contact-us
LEARN MORE
Astera Centerprise: https://get.astera.com/centerprise
Data Warehousing with the AI Agent: https://www.astera.com/type/blog/building-a-data-warehouse-with-the-Astera-AI-agent
Salesforce Connector: https://documentation.astera.com/connectors/connecting-to-salesforce-database
Dimensional Models: https://documentation.astera.com/astera-data-stack-v9/data-model/dimensional-modelling/introducing-dimensional-models
Dimension Entities (SCD types): https://documentation.astera.com/astera-data-stack-v11/data-model/dimensional-modelling/dimension-e…
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