Data architecture is the process of standardizing and creating a blueprint of how organizations collect, store, transform, distribute, and use data; in short, it is the formal structure for managing data flow.

Legacy methods have become outdated — too cumbersome and slow to meet modern business and customer demands. However, tools and techniques have evolved to give businesses an edge in how to collect and use data that’s relevant to their needs. Data architecture bridges the traditional gap between business leaders and IT, giving them a platform to ensure that technology and strategy align to power the business forward. The goals and needs of your organization are what shapes the data architecture.

Proper architecture helps you gain a better understanding of the data, where it comes from, where it is stored and the process by which it flows from raw data to actionable insights. It is the backbone for which every other data-oriented work and strategy rests upon. A successful architecture provides clarity for every aspect of the data.