Case Study: Gobal Omni Channel Company achieves real-time, scalable campaign precision with Software AG's Zementis Predictive Analytics

Gobal Omni Channel Company - Customer Case Study

A leading global omni-channel marketing agency — offering a marketing management platform, big data analytics, and bespoke campaigns — faced overwhelming data volumes and a rapidly digitizing, disruptive media environment. Static, post-campaign analysis and hand-coded R workflows could not scale to hundreds of millions of customers or deliver the fast, actionable insights needed to target the right audience on the right channel in real time.

By adopting Zementis Predictive Analytics (PMML-based), the agency gained a plug-in decision engine and standards-based deployment that scaled model scoring, reduced custom coding, and standardized analytic processes. The result: faster, real-time campaign optimization, improved targeting precision, lower costs, and freed data scientists to focus on advanced modeling — enabling a shift to real-time decision-making and broader IoT-enabled analytics.