Data warehouses (DW) are designed primarily to support technical teams, like business intelligence and analytics departments, to create a central data repository with the ability to access for custom deep-dive analyses, or for general reporting. DW’s typically are only accessed by technical users, as they require some level of coding ability to surface information, or to push it to a data visualization tool (like Tableau or PowerBI) to build reports.
The technical barrier to data warehouses makes it difficult for other departments to leverage its data on their own when attempting to do timely multi-channel marketing, sales campaign orchestration, or to measure revenue attribution, which is what the focus of a CDP is. Data warehouses can be a great central data source to feed into a CDP to complement the single customer view that is leveraged for marketing or sales purposes, if the data is clean and structured correctly. At StellarAlgo, we offer a modern, performant, and highly flexible Data Warehouse that monitors-in-place to identify and correct errors, duplicate and cleanse data, to ensure the data moving from your DW to the single customer view in your CDP is accurate and reliable.
CDPs--with their intuitive no-code access UI-- work hard to democratize data and insights across the organization to enable the analytics team to empower marketing, service, and sales teams to make data-driven decisions without the need to learn how to code. You can read more about the differences between a CDP and a DW here.