Business Analytics goes beyond mere reporting and data analysis. Data drive decisions. Interactive analysis tools and AI techniques are used to gain insight from past business performance and to apply insights when continuously monitoring business operations to pro-actively drive decisions on the management of individual business cases and the re-planning of overall business operations. The talk focuses not on data analysis itself but on the overall analytics process from data collection to interpreting analysis results, exemplifying caveats and pitfalls, based on our own experience and examples from literature.
Michael Schrefl heads the Department of Business Informatics—Data and Knowledge Engineering at Johannes Kepler University of Linz. He has gained substantial experience in the areas of semantic systems and business analytics for over 20 years in Austria and Australia. His research has been funded by the EU (Horizon-2020), FFG, and the Australian Research Council. Partners involved in industry-linked collaborative research projects include Frequentis, SINTEF, and Euro Control. The outcomes of his research have been published in over 150 peer-reviewed conference and journal publications.