Prospecta Software

This case study showcases how Santos, one of Australia’s leading oil and gas companies, transformed master data governance across a vast and highly complex SAP landscape managing hundreds of thousands of technical objects, maintenance plans, BOMs, and engineering records. Despite being digitally mature, Santos faced fragmented governance processes, inconsistent Management of Change (MOC) standards, and a high volume of manual data requests that strained engineering resources and increased operational risk. By partnering with Prospecta and implementing MDO, Santos established a structured, workflow-driven governance framework embedded directly into SAP, supported by rule-based data quality controls, bulk-load automation, and scalable configuration. Through a phased rollout and strong stakeholder alignment, the organization successfully shifted from reactive data correction to proactive, automated, and accountable data management — improving compliance, reducing manual effort, enhancing visibility into approval bottlenecks, and building a governed, future-ready foundation for its AI-enabled digital roadmap. 

This case study explores how Origin Energy successfully transformed a fragmented and unreliable asset master data landscape into a governed, scalable, and AI-enabled foundation using Prospecta’s MDO platform. Confronted with broken legacy systems, highly customized and manual change processes, and governance gaps that prevented “Right First Time” data capture, Origin recognized that the initiative was not merely a system replacement but a strategic business transformation. Through a structured, phased implementation aligned with its SAP S/4HANA environment, Origin embedded governance directly into data creation workflows, simplified user access and administration, and introduced rule-driven validations to eliminate errors at the source. Automation replaced cumbersome, people-intensive processes, enabling intelligent triage of requests and synchronous updates to SAP with trusted, quality-controlled data. By laying the groundwork for full KAI integration and AI-powered data orchestration, including conversational request handling, enrichment, and cross-platform collaboration, Origin Energy shifted from reactive data correction to proactive, governed, and intelligent master data management, positioning the organization with a future-ready foundation that supports operational excellence and accelerates its long-term digital strategy.