The term enterprise-wide data architecture is particularly at home in the areas of digital transformation, big data, smart data and the Internet of Things (IoT). It describes how all data in a company is centrally organised, linked and managed. The aim of a company-wide data architecture is to link and structure different data sources, such as customer data, production data or financial data, in a meaningful way so that all departments can access reliable information at all times.
Imagine a large company with several locations. Without a company-wide data architecture, each department stores its data differently - for example as Excel lists, in different cloud services or in old programmes. This results in chaos, double entries and errors. With a well thought-out data architecture, all data sources are brought together. For example, the sales department can immediately see which products are in stock because the sales data is directly linked to the inventory and the purchasing system.
A robust company-wide data architecture not only simplifies daily processes, but also improves collaboration and creates the basis for modern technologies such as artificial intelligence or data-driven business models.
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