Several of the developed tools are based on the statistical software R, where the handling of big databases is also ensured. Furthermore, there is an appropriate handling of a heterogeneous data which can be often found in practice.
Besides a risk based approach, in which we identify suspicious cases with the help of the detection of conspicuity, we determine a resource together with the client which evaluates cases randomly. In this way, we can obtain the “unknown unknowns” and develop the detection methods dynamically. This partition can be done adaptively to the data. Thereby, the meaning of the entire prognosis for the amount of damages in contrast to the relative arrangement of the cases according to fraud risk slightly loses importance.
In every case the domain specific knowledge of our clients will be integrated in our analysis and forms together with our financial mathematical background the basis for our approach.
The presentation of the results always relates to the context and in such a form that allows the client to optimally interpret the results. An important point in the presentation of the results is an appropriate and significant visualization as well as an interactive statement of similar cases. In collaboration with our clients we finally validate and measure the performance of recently developed tools.