Logical Analysis of Data and Formal Concept Analysis are separately developed methodologies based on different mathematical foundations. We show that the two methodologies utilize the same basic building blocks. That enables us to develop an interface between the two methodologies. We provide some preliminary benefits of the interface; most notably efficient algorithms for computing spanned patterns in Logical Analysis of Data using algorithms of Formal Concept Analysis.
