Large amounts of information are produced on a daily basis. We include any form of electronic data in the term information, for example e-books, web sites, software, databases, etc. Several studies have investigated the quality of this information, and often find it lacking. It is a complex process of producing said information but also to define and assess quality of the information, especially across the many different forms. We present a model-driven approach to information quality management, were models and indicators are used to define and assess qual- ity. We rely on abstraction of models, which are described using meta model. We show how this model-driven approach is implemented by a software tool that (i) reads information, (ii) performs analyses on this information, and (iii) visualizes the results, to help stakeholders understand quality issues. The software tool has been used to evaluate the quality of real world software and docu- mentations.