Jusletter IT

The analysis of large volumes of structured and unstructured data from manifold sources and the establishment of correlations between data in their processing leads to the risk that it becomes possible to draw conclusions from non-personal data to identifiable persons. Big data analytics can cause the de-anonymization of data. Even if technial procedures exist that make it difficult to establish a relation between anonymized data and persons, it must be acknowledged that these procedures are technically often complicated to apply. In order to achieve a risk minimization, an interdisciplinary cooperation between organization, technique and law must be realized.