In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk. However, the advent of agile data warehouse architecture has truly transformed how enterprises build their data architecture and enable business intelligence.
In essence, agile data warehousing is about building and updating your architecture through an iterative approach rather than developing a fully built solution in one go. Each iterative cycle, while building on the previous one, adapts the warehouse to current business needs. And each iteration is made by inclusive teams of business and technical users to ensure that the business intelligence requirements of all stakeholders are met. An agile data warehouse, unlike legacy architectures, is a living system that continuously evolves and adapts to changing data needs.
