Online Data Warehouses

Table of Contents

Online data warehouses (ODWs) are centralized information storage and repository systems that help businesses develop insights and make better decisions through business intelligence. They store information that has been extracted transformed, loaded, and transformed (ETL) from various sources, including internal operational databases, customer-interface applications like marketing and sales; as well as external partner systems.

They act as a single source of truth, centralizing data in a standardized and non-volatile system that is accessible to employees who are authorized. A data warehouse is able to support online analytical processing (OLAP), which lets users perform multidimensional analysis of data quickly and efficiently. A typical warehouse could be several petabytes in size.

Data warehouse tools are software that assist in reading, collecting, and transferring large amounts of data. Xplenty is a popular example, as are Amazon Redshift, Teradata and IBM Infosphere.

Data warehouses allow businesses to make better decisions by eliminating the need to rely solely on intuition or unreliable data. It also eliminates the need for slow and inefficient systems. Additionally, it offers the ability to evaluate multiple time periods and identify trends, allowing decision-makers to feel more confident about their choices. Data warehouse is an essential tool for companies in every sector, as it allows to improve their campaigns, decrease churn, increase revenue, and much more.

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