How do data warehouses save businesses money?

Data warehouses (DWHs) are designed to collect, process and analyze an organization's data, providing a single source of accurate information for businesses. They accumulate and clean data from various sources such as goods, transactions, personnel, logistics, etc., allowing companies to make data-driven decisions. DWHs differ from transactional databases in that they are designed for complex analysis of data gleaned from multiple sources and can process large amounts of data collected over time. They also work with business intelligence (BI) tools for advanced functions like data mining, artificial intelligence, machine learning, and result visualization. While DWHs are convenient tools for solving business problems, other storage solutions such as data lakes and data marts are also common approaches to big data.