Case Study: a petroleum company achieves real-time data unification and predictive maintenance with SaaSnic Technologies and Salesforce Data Cloud

Petroleum Company cuts unplanned equipment failure by 27% with SaaSnic Technologies

SaaSnic Technologies partnered with a multinational petroleum corporation that was struggling with fragmented data silos across its many global operations. The company's data was spread across over nine different systems, including SAP, Oracle, and IoT platforms, which prevented a unified view of stakeholders and led to inefficient maintenance scheduling and slow decision-making.

SaaSnic Technologies implemented Salesforce Data Cloud, integrated via MuleSoft, to serve as a central data layer. This solution unified information from 12 legacy platforms, created real-time data streams, and activated Einstein AI for predictive insights. The results included a 27% reduction in unplanned equipment failures and a shift from weekly reports to live dashboards for faster decision-making.