Since the publication of the National academy of science report on missing data many pharmaceutical companies have condidered changing modeling approaches and strategies in order to deal with the issue of incomplete data in a more appropriate way. A major drawback however which most companies are facing is the lack of user friendly software which allows to apply methodology developed in academic environments. The goal of this session is to bring together software companies, academics and pharmaceutical companies in order to develop a strategy towards a kind of cross pharmaceutical platform where software can be shared. In this way the introduction of more advanced methods to handle missing date into pharmaceutical industry can be facilitated.