The aim of online data warehouses is the centralization of data in a stable, standardized system that’s accessible to all relevant employees for making decisions. They serve as an historical archive of data as well as a single source for truth, permitting users to compare data from various sources without relying outdated information.

When it comes to choosing the right platform, architecture and tools for a data warehouse, there are many things to consider. 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 refreshed? What will the change data capture capability be used to record and feed updates into the warehouse? The final decision to select the best technology should be based on the company’s specific business requirements.

For example the bicycle manufacturer could make use of its data warehouse to learn more about current customer behavior and trends. It might find that their customers are mostly women over 50 years old, and would be keen to learn more about the retailers they prefer to shop at for bicycles. This data could aid the company in improving its marketing and development efforts.

A group of IT professionals could use their data warehouse to aid auditing processes and regulatory compliance by providing historical records that can be analyzed. This can save the organization valuable time and resources in these processes by eliminating unnecessary duplicates of data.



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