Case Study: Berliner Wasserbetriebe achieves holistic process transparency and automated controlling with Appian Process Mining

Berliner Wasserbetriebe - Customer Case Study

Berliner Wasserbetriebe (BWB), Berlin’s municipal water and wastewater utility responsible for more than 18,000 km of network, faced a fast-growing city and a complex “cross‑media network construction” (MüN) process spread across departments and multiple IT systems (SAP, ASS, Camunda). The end‑to‑end process was non‑transparent, manually reported in Excel (3–5 days/month), and hard to monitor across some 1,176 construction measures and hundreds of process variants.

By implementing Appian Process Mining, BWB validated and unified data from disparate systems, visualized four years of process data (revealing >500 variants), and automated KPIs/PPIs in a centralized dashboard. The project removed data gaps, enabled rapid conformance checks to find bottlenecks and skipped phases, increased cross‑system data consistency, and delivered end‑to‑end, automated controlling for continuous process monitoring and optimization.

Berliner Wasserbetriebe