This method analyses the biggest changes within two entities and transactional relation in a given period. If a change is identified as an anomaly, it is added to the cumulative anomaly graph. Once cumulative anomaly graph is defined (based on all transactions jumps between the two entities) extremes are identified – and anomalous companies identified. The purpose of the method is to identify the companies manifesting biggest changes in transaction relations.