A data warehouse is a cloud-based central repository that collects data from various sources. It helps businesses identify patterns, identify efficiencies, and make better business decisions. But it takes time to crosscheck different systems and collect accurate, consistent data — especially when the data is unstable or large.

Unlike a data lake, which allows you to dump all kinds of data (structured and unstructured) for future use, a data warehouse stores an immense collection of and clean business information in aggregate summary form (fitting into columns and rows) ready for business intelligence processes. The data is retrieved via structured query language (SQL) and the design of the database is usually oriented on meeting specific business requirements.

Digital marketing agencies utilize online data warehouses to access data from multiple sources and present customers with a a cohesive view dataroomtechs.info/what-does-a-venture-capitalist-look-for-in-a-start-up of their performance. This helps to make educated decisions that positively impact the performance of their business and provide the most effective results for their clients.

The best way to grasp an online data warehouse is to think of it as a tank of water that is designed to meet the clean water (data and analysis) needs of a particular household. Imagine a bicycle maker wants to learn more about its current customers. The company can use its data warehouse to learn about age, gender and location. It could also learn more about the purchasing habits of its customers. This information will help the bicycle manufacturer design and market new models of bicycles that are more appealing to the target market.



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