Case Study: Vetter achieves automated high-quality reporting with AX Semantics

How Vetter Pharma Saves Their Analysts A Lot Of Time Thanks To Automated Reportings

Vetter Pharma, a globally operating pharmaceutical CDMO, needed a way to automate the many standardized financial reportings its analysts were creating manually each month. The work was time-consuming, data aggregation was difficult because reports had previously been built individually, and sensitive information had to remain on Vetter’s own servers. Vetter turned to AX Semantics and its NLG software to help streamline the process.

AX Semantics implemented an internal data structure at Vetter and connected it via a direct API so report data could be exchanged securely without leaving Vetter’s servers. With the automated reporting setup in place, Vetter now generates around 60 reportings per month, saves up to 600 hours of analyst time per year, reduces labor costs, and produces more consistent, higher-quality reports with fewer errors.

Vetter