The aim of online data warehouses is to store data in a non-volatile, standardized system that is accessible to all employees to make decisions. They also provide a historical archive of data and serve as an authoritative source of information and allow users to analyze data from different sources without relying on outdated information.

There are many aspects to take into account when choosing the appropriate architecture, platforms and tools for the Data Warehouse. For instance whether the warehouse should be deployed on-premises or cloud-based? Should it use extract, transform and load (ETL) or direct-to-database integration methods? How often should data be updated? What can the change-data capture capability be utilized to collect and feed updates into the warehouse? The organization’s business use cases should guide the selection of the right technologies.

A bicycle manufacturer, for example, may use its data storage facility to understand the current behavior of its customers. It might discover that its customers are mostly women older than 50, and would be keen to learn more about the stores they prefer to shop at for bicycles. This information might help the company to improve its marketing and product development efforts.

A group of IT professionals could utilize their data warehouse to aid auditing processes and regulatory compliance by providing historical records that can be analyzed. This could save an organization time and money in these processes by eliminating unnecessary duplication of information.

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