Data analysis, mathematical statistics, machine learning, data mining: Similarities and differences

An attempt is made to bring some structure in the meanings of the title subjects based on the perspectives at which they view the data. A rigid framework for Data Analysis is proposed pointing out its role in augmenting the knowledge of a phenomenon the data relate to. In particular, the task of summarization as a general problem is discussed. The ingredients of a data analysis problem are described as a base for positioning of various approaches in data analysis and mathematical statistics.