An information extracting and modelling strategy, based in big data analytics, aimed to evaluate in a (semi-)automated manner, the Mexican government data, analysing the pertinence, quality, usability and organization in the open data of the Mexican government. We propose a detailed study of the formats, structure, temporality, uniformity, ease of access, available tools, to determine the openness degree of the data of the Mexican government. Additionally, the results obtained from the study, will be useful for the modelling and evaluation of the information to design and implement the strategies of analysis of the open government data, using big data analytics advanced techniques. This methodology puts in evidence the feasibility of the categories defined by the research group, “Seminario de Investigación de gobierno abierto y big data”. Lastly we diagnose the Mexican government open data using big data analytics tools. The outcome will be the application of big data analytics tools to open data susceptible to be applied to data from developing countries government. The modelling of the data will be the starting point for the design and implementation of the data analysis strategies to be applied to open government data through the use of big data analytics advanced tools.