How to Implement a Semantic Layer: A Proven Operating Model

As organizations invest in enterprise AI and knowledge intelligence, the semantic layer serves as a critical foundation for providing a consistent, contextual framework that connects data assets across multiple sources to enable shared understanding, interoperability, and more intelligent use of information. Translating this conceptual foundation into an effective, functioning semantic layer for the enterprise requires repeatable processes supported by a well-defined operating model for incremental delivery. Similar to other enterprise frameworks and solutions, a semantic layer involves specific use cases, data models, tooling/applications, and roles and skillsets required to implement and scale over time. This article will explore the components of an operating model that EK uses to define and structure semantic layer implementation efforts for delivering continuous value to clients while laying the groundwork for scalable solutions. Semantic Layer Operating Model – The Components Establishing a clear operating model is essential for translating the vision of a semantic layer into a practical, scalable reality.