We are pleased that Investitionsbank Berlin-Brandenburg is funding the development of a big data analysis of financial indicators in the German SME sector. The project, which is designed to run for one year, is aimed at the automated collection and comparison of key financial figures with the goal of identifying unusually deviating financial figures. This should also simplify the work for those who rarely study balance sheets and need corresponding assistance to identify important changes with their customers, suppliers or competitors. The technical challenge is to identify relative outliers compared to similar companies. For this purpose, a solution based on in-memory databases is being developed to create several thousand peer groups based on industry, region, size and age of companies, which are then used to put the level of certain financial ratios (such as turnover or net profit) into perspective and to identify real outliers. In-memory databases allow these comparisons to be analysed in a much shorter time with significantly more key figures. The first results from this work are expected from Q3 2021. Interested parties can gain an early insight into the ongoing development.