Summary
This document is a guide that discusses the concept of treating data as an asset within enterprises. It outlines the traditional approach of centralizing data in warehouses and the challenges associated with this method, particularly in the context of modern analytics and cloud technologies. The guide emphasizes the need for organizations to move beyond simply storing data to actively utilizing it for value creation. It identifies two key issues: architecture and knowledge, highlighting the differences between operational and BI/analytics architectures. The document also introduces the idea of Analytical Data Products, which are defined and managed by domain experts, thus aligning analytical and operational architectures. Furthermore, it presents the concept of a Self-Service Platform supported by a Data Marketplace, enabling non-technical data owners to create and manage data products efficiently while ensuring governance policies are upheld. This approach aims to integrate data assets into the enterprise architecture and enhance their role in revenue generation.
