Online data warehouses are designed to consolidate data in a non-volatile system that is accessible to all employees who require it for decision-making. They also offer a historical archive for data and act as a single source of truth, so users can examine data from various sources without relying on outdated data.

When it comes down to choosing the right platform, architecture and tools for the data warehouse, there are a lot of factors to consider. For instance whether the warehouse should be deployed on-premises or cloud-based? Should it be using extract transform and load (ETL) or direct-to-database integration methods? How often should data be refreshed? What change data capture capabilities be used to record updates and feed them into the warehouse? The business use cases of the company will ultimately determine the selection of suitable technology.

A bicycle manufacturer, for example might utilize its data store to find out more about present customer habits. It might find that their customers are primarily women over 50 years old, and be keen to learn more about the retail outlets they shop at for bicycles. This information could help the company improve its marketing and product development efforts.

A group of IT professionals could use their data warehouse as a tool to aid auditing processes and regulatory compliance by providing historical records that can be reviewed. This could save a company time and money by removing unnecessary information.