  We introduce KPI-Check, a novel system that automatically identifies and
cross-checks semantically equivalent key performance indicators (KPIs), e.g.
"revenue" or "total costs", in real-world German financial reports. It combines
a financial named entity and relation extraction module with a BERT-based
filtering and text pair classification component to extract KPIs from
unstructured sentences before linking them to synonymous occurrences in the
balance sheet and profit & loss statement. The tool achieves a high matching
performance of $73.00$% micro F$_1$ on a hold out test set and is currently
being deployed for a globally operating major auditing firm to assist the
auditing procedure of financial statements.
