A data warehouse maintains a copy of information from the source transaction systems. This architectural complexity provides the opportunity to:

Integrate data from multiple sources into a single database and data model. More congregation of data to single database so a single query engine can be used to present data in an ODS.
Mitigate the problem of database isolation level lock contention in transaction processing systems caused by attempts to run large, long-running analysis queries in transaction processing databases.
Maintain data history, even if the source transaction systems do not.
Integrate data from multiple source systems, enabling a central view across the enterprise. This benefit is always valuable, but particularly so when the organization has grown by merger.
Improve data quality, by providing consistent codes and descriptions, flagging or even fixing bad data.
Present the organization's information consistently.
Provide a single common data model for all data of interest regardless of the data's source.
Restructure the data so that it makes sense to the business users.
Restructure the data so that it delivers excellent query performance, even for complex analytic queries, without impacting the operational systems.
Add value to operational business applications, notably customer relationship management (CRM) systems.
Make decision–support queries easier to write.
Organize and disambiguate repetitive data.
What are the benefits of a data warehouse?
A data warehouse provides multiple benefits including but not limited to: the integration of data from multiple sources in a single database and data model, maintaining data history, integrating data from multiple sources and providing access to such data across the enterprise, and presenting the information consistently and in a way that makes sense to business users so that they can do decision making.