This paper presents a novel data mining technique, known as Post Sequential Patterns Mining. The technique can be used to discover structural patterns that are composed of sequential patterns, branch pat- terns or iterative patterns. The concurrent branch pattern is one of the main forms of structural patterns and plays an important role in event-based data modelling. To discover concurrent branch patterns e-ciently, a concurrent group is deflned and this is used roughly to discover candidate branch pat- terns. Our technique accomplishes this by using an algorithm to determine concurrent branch patterns given a customer database. The computation of