Online data warehouses are designed to centralize information in a nonvolatile database that is accessible to all employees who require it to make decisions. They also provide a historic 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as an authoritative source of information and allow users to analyze data from different sources without relying on outdated information.
When it comes to selecting the appropriate architecture, platform and tools for the data warehouse, there are numerous aspects to take into consideration. Should the warehouse, for example be located on premises? Should it use extract, transform and loads (ETL) methods or direct-to database integration? How often should data be refreshed? What change data capture capabilities be used to capture updates and feed dataroomtechs.info/virtual-data-warehouses-compared-to-traditional-technologies/ them into the warehouse? The company’s business needs should be the primary determinant in the selection of the right technology.
A bicycle manufacturer, for instance, may make use of its data storage to understand the current customer behavior. It could find that its customers are primarily women over 50 years old, and be interested in learning more about the stores they shop at for bicycles. This information could aid the company in improving its marketing and development strategies.
Or, an IT team might make use of its data warehouse to assist the auditing process and regulatory compliance by efficiently providing historical records to be reviewed. This could save an organization time and resources by eliminating redundant data.