Online data warehouses are designed to centralized information in a permanent system that is accessible to all employees who need it for decision-making. They also provide an historical archive of data and act as an unifying source of truth and allow users to look up data from multiple sources without relying on outdated data.

When it comes to choosing the right architecture, platform and tools for a data warehouse, there are many aspects to take into consideration. For instance should the warehouse be deployed on-premises or cloud-based? Should it employ extract, transform and load (ETL) or direct-to-database integration? How often should data be refreshed? How can change data capture capabilities be used to collect updates and feed them into the warehouse? Ultimately, selecting the right technology should be based on the business’s specific business use cases.

A bicycle manufacturer, for instance, may use its data store to understand the current behavior of its customers. It might find that women over 50 make up a majority of its customers and may be interested in knowing more about the retail outlets where these customers prefer to buy bicycles. This data could assist the company to improve its marketing and development efforts.

A team of IT professionals could make use of their data warehouse to support auditing processes and regulatory compliance by providing historical records that can be reviewed. This could help save time and resources by eliminating duplicate information.

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