Powering Gold Mining Decisions With a Data Warehouse and Analytics Platform for One of the Largest Gold Mining Companies

The Company is one of the largest gold mining businesses in its market, generating large volumes of operational and financial data across mine planning, production, processing, and finance functions. This data had been managed across disconnected systems with limited cross-functional analytics capability.

• Mine planning, production, processing, and finance data siloed across disconnected systems
• No consolidated data warehouse to support integrated, cross-functional analytics
• Manual, spreadsheet-based reporting slowing management's access to production and cost insights
• Inconsistent data definitions across mine sites and corporate functions
• Limited ability to analyse ore grade, yield, and cost trends together in a timely way

• Gold mining decisions depend on the ability to connect ore grade, processing yield, and cost data quickly and accurately
• A consolidated data warehouse enables the cross-functional analytics that siloed systems cannot support
• Standardised data definitions across sites are essential to accurate group-level reporting and benchmarking
• Without modern analytics, management decisions rely on lagging, manually compiled reports rather than near-real-time insight

• Consolidated Mining Data Warehouse
• Cross-Functional Data Integration Pipelines
• Ore Grade, Yield, and Cost Analytics Dashboard
• Standardised Data Governance Framework
• Site and Corporate Benchmarking Analytics
• Phased Rollout Roadmap
• Data Literacy Training Programme
• Predictive Analytics Roadmap for Future Enhancement

4

Functions consolidated into one data warehouse

40%

Reduction in manual reporting effort (approx.)

30%

Faster access to production and cost insights (approx.)

1

Single source of truth replacing siloed spreadsheets

90%+

Data consistency achieved across integrated sources (approx.)

20%

Improvement in cost forecasting accuracy (approx.)

The Company now has a consolidated data warehouse and analytics platform connecting ore grade, production, and cost data across its operations. This gives leadership the integrated, near-real-time insight needed to manage a complex, capital-intensive gold mining business.