The purpose of online data warehouses is to centralize information in a non-volatile standardized system that's accessible to all employees to assist in making decisions. They serve as an historical archive of information and a single source of truth making it possible for users to compare data gathered from various sources without having to rely on outdated data.
When it comes time to choose the appropriate architecture, platform and tools for a data warehouse, there are plenty of factors to consider. For example is it better to have the warehouse located on premises or in the cloud? Should it utilize extract transform and loads (ETL) methods or direct-to-database integration? How often should data be updated? What is the process by which the change data capture capability be used to capture and feed updates into the warehouse? In the end, choosing the appropriate technologies should be based on an organization's specific business requirements.
For instance the bicycle manufacturer might make use of its data warehouse to discover more about the current customer behavior and trends. It may find dataroomtechs.info that its customers are predominantly women older than 50 and may be interested in learning more about the retailers they shop at for bicycles. This data could aid the company in improving its marketing and development strategies.
Alternatively, an IT team could use its data warehouse for the auditing process and regulatory compliance by efficiently providing the historical records needed for review. This could save a company time and money by removing redundant information.