Online data warehouses are designed to store data in a non-volatile system that is accessible to all employees who need it for decision-making. They also offer a historical archive of data and serve as an authoritative source of information and allow users to look up data from multiple sources without relying on outdated data.
There are a variety of factors to consider when choosing the appropriate platforms, architecture and tools for the Data Warehouse. Should the warehouse, for example be on premises? Should it employ extract transform and load (ETL) or direct-to-database integration? How often should data be updated? What data capture capabilities be used to record updates and feed them into the warehouse? Ultimately, selecting the right technology should be based on an organization’s specific business use cases.
For instance, a bicycle manufacturer may use its data warehouse in order to learn more about trends and customer behavior. It might find that their customers are primarily women over 50 years old and would be looking to learn more about the stores they shop at for bicycles. This data could help the company improve its marketing and development efforts.
Alternately the IT visit this site right here team might use its data warehouse to aid the auditing and compliance processes by efficiently providing historical records to review. This could save an organization time and money by removing duplicate information.