121 Figure 6 – Information Flow Transformation: Pre-MDM Fragmented Environment (left) versus Post-MDM Governed Data Architecture (right) at Aripuanã Underground Mine. The transition from informal multi-version file exchange to a single, validated source of truth is illustrated across all six technical disciplines. Figure 7 – Representative MDM Workflow: Topographic File Governance from Field Survey to Official File Release. Swimlane diagram showing actor responsibilities, validation gates, multidisciplinary approval steps, and BI dashboard update triggers in Deswik MDM at Aripuanã. 5. RESULTS AND DISCUSSION The implementation of Deswik MDM at Aripuanã yielded measurable improvements in data governance, process efficiency, and operational visibility. Quantitative metrics, collected over a six-month post-implementation period (2025-Q2 to 2025-Q3) and compared against a baseline (2024-Q4 to 2025-Q1), demonstrate the platform's impact on key performance areas. Data Governance and Safety Assurance. We enforced a single source of truth, eliminating the proliferation of parallel file versions circulating through informal channels. This addressed a critical vulnerability: analyses conducted on outdated designs could propagate hazardous assumptions into field execution. Post-implementation, mandatory downloads from Deswik MDM and multidisciplinary validation steps for field releases mitigated this risk. Standardization improved team alignment, reducing inconsistencies in naming conventions and data structures across disciplines. Workflow Performance and Cycle Time Reductions. Three representative workflows illustrate significant improvements: (i) linear advance measurement in horizontal development headings decreased from 4–6 hours (N=35) to 10–15 minutes (N=42), a ~90% reduction; (ii) stoping/production reconciliation
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