Data Warehousing is an important concept in the digital age, as organizations seek to capture rich and detailed descriptions of how their operations are conducted over time. Data warehousing is the method of integrating and storing both internal and external data in a single repository, in order to facilitate the analysis of the data.

Data warehousing is used to address the growth in databases and multiple data sources, helping organizations to store, integrate, and analyze different types of data under one platform. The data warehouse provides an environment that enables complex queries to be performed, which would be difficult or impossible on a traditional database. The main purpose of data warehousing is to provide a single view of the data that can be easily accessed and manipulated for data-driven decisions.

The process of developing a data warehouse starts with identifying and analyzing the data sources that need to be integrated to provide the 'single version of the truth'. The data model of the warehouse is then designed, and the data cleansing and ETL (extract, transform, load) processes are performed. Once the data warehouse is operational, the data can be accessed by various tools, as well as through dashboards, reports and analytics, allowing detailed analysis of the information.

Data warehouses provide decision makers with an enterprise-wide view of operations that extends beyond current real-time operations and can provide an understanding of business trends and performance. By factoring in historical data, organizations can plan more effectively and increase their competitive advantage in the market. Therefore, an effective data warehouse can be an invaluable asset when it comes to enhancing business performance.