[...] * Clearly the possibility to extract patterns and trends in data can help the policy maker in having a first sight for discovering issues that are the used to develop the policy agenda. An interesting application is anomaly detection, which is most commonly used in fraud detection. For example, anomaly detection can identify suspicious activity in a database and trigger a response. There is usually some level of machine learning involved in this case.