Data warehouse
A central repository optimized for storing and analyzing large volumes of structured data consolidated from many source systems, primarily to support reporting and analytics.
In more detail
A data warehouse consolidates data from an organization's many systems into one central store designed for analysis rather than day-to-day operations. Because it brings the data together and is optimized for querying large volumes, it is the backbone of reporting, business intelligence, and analytics across the organization.
A warehouse is distinct from the operational systems that feed it. Those systems are optimized for running the business transaction by transaction; the warehouse is optimized for asking analytical questions across all of it. Data flows in through pipelines, and increasingly flows back out to operational tools through reverse ETL.
Where this shows up at Ceven
Ceven can connect to a data warehouse as one of its 1,000+ tools, reading from it to inform workflow decisions and pushing computed results back out to operational systems. It is not itself a warehouse or a system of record; it orchestrates data into and out of the customer's own analytical and operational stores, with each action recorded in the audit trail.