The purpose of online data warehouses is to consolidate data in a non-volatile, standardized system that is accessible to all employees to make decisions. They serve as an archive of data as well as a single source of truth, permitting users to compare data from various sources without relying on outdated information.

When it comes to selecting the best architecture, platform and tools for a data warehouse, there are many aspects to take into consideration. For instance whether the warehouse should be located on premises or in the cloud? 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 feature be utilized to collect and feed updates to the warehouse? The final decision to select the best technologies should be based on the organization’s specific business requirements.

For example the bicycle manufacturer might use its data warehouse to gain insight into current customer behavior and trends. It might find that women over 50 constitute the majority of its customers and might be interested in knowing more about the places where those customers prefer to shop for bicycles. This data could assist the company to enhance its marketing and product development efforts.

Alternately the IT team could use its data warehouse to support the process of auditing and regulatory compliance by efficiently providing historical records to be reviewed. This could save an organization time and money in these processes by removing unnecessary duplication of data.

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