• University @Avira: Predicting error-related user behavior in Avira Antivirus

    The best way to learn Data Science is to do data science. Following this motto, Avira collaborated with the University of Liechtenstein and participated at the winter semester 2016/2017 seminar “Data Science” with a real-world data science problem. Liene Blija, Christian Holder, Jan Plojhar, and Martin Lukšík—four brave students—accepted the... More


  • Continuous and automatic key driver analysis of customer feedback

    In all of Avira’s products, customers are able (and invited!) to provide feedback whenever they feel the need to tell us about their experiences with the products at hand. This feedback does not disappear into nirvana—instead it is collected, automatically analyzed and distributed within the company to relevant stakeholders. Product... More


  • Data Science Meetup hosted by Avira

    Meetups are an exciting way to meet people in your local community who share the same interests. One of our interests at Avira is Data Science – so, we are proud to host the first 4ländereck Data Science Meetup in the area around the Lake of Constance (Bodensee), Vorarlberg, St.... More


  • Speeding up k-means via blockification

    The Avira Protection Labs maintain databases containing several hundred millions of malware samples which are used to provide up-to-date protection to our customers. Being able to automatically cluster these huge amounts of data into meaningful groups is an essential task both for data analysis and as a preprocessing step for... More


  • Welcome to the Avira data science blog

    Data is at the heart of Avira. In many places throughout Avira the task of extracting insights from massive amounts of data is key. We want to follow the tradition of other data-driven companies like Google with their Unofficial Google Data Science Blog and Facebook with their Research at Facebook... More