The Enterprise Model Analysis (EMA) workshop aims discussing research and open issues related to the analysis of enterprise architecture models. Model-based analysis assists understanding and communicating the complex relationships within an architectural model or between multiple models. It also contributes to the assessment of the value of an enterprise model and to support the overall decision making process. Different analysis techniques apply to enterprise architecture, such as functional, structural, quantitative, and qualitative analysis, which rely on information within the architectural models or on layers of additional information that relate to the models. Model analysis is also a means to understand the large volume of structured and unstructured data within an organization that needs to be processed before it becomes a value-adding asset. As such, combining large scale data management with a model-driven approach towards enterprise engineering contributes to (1) facilitate the analysis, contextualization, communication and visualization of heterogeneous enterprise data; (2) assess the quality and conformance analysis of models according to the data and vice-versa; and (3) manage enterprise models that make use of large scale structured and unstructured data. The primary goal of the EMA workshop is therefore discussing the role of model analysis in the discipline of enterprise engineering.