The internet today offers an overwhelming amount of still growing resources such as websites, images, texts, and videos. The resulting Big Data Problem does not only consist of the handling of this immense volume of data. Moreover, data needs to be processed, cleaned, and presented in a user-friendly, graphical way.

The VANDA project addresses the challenges summarized in the four V’s: Volume (huge data amounts in the range of tera and peta bytes), Velocity (the speed in which data is created, processed, and analysed), Variety (the different heterogeneous data types, sources, and formats), Veracity (authenticity and validity of data).

Big Data driven interfaces in the VANDA project combine suitable backend and frontend technologies as well as automatic and semi-automatic approaches in order to analyse data in various business contexts. An important aspect is human intervention in developing and training machine learning algorithms (human in the loop).