Data mining and warehousing are two processes essential for any organization that wants to be recognized on a global or national level. Both techniques help prevent data fraud and improve managerial statistics and rankings. Data mining is used to detect significant patterns by relying on the data gathered during the data warehousing phase.

Data mining and data warehousing are both considered as part of data analysis. But they work in different ways. This blog will look at the differences between the two and whether or not one can exist without the other.