About
A leading Australian mining company operates a large-scale resource extraction and export business, managing complex production, shipping, maintenance, safety, and financial operations across multiple sites and systems. To support continued growth and improve decision-making, the organisation sought to modernise its reporting and analytics capability through a scalable enterprise data platform.
Challenge
The organisation relied on data spread across multiple operational and business systems, making it difficult to deliver consistent, trusted reporting across the business.
Critical information relating to production, shipping, equipment performance, safety, and financial operations existed in separate systems, requiring significant manual effort to consolidate and analyse.
The organisation required a solution that would:
Establish a single source of truth across operational and corporate data
Improve visibility of production, shipping, equipment, safety, and financial performance
Reduce manual reporting and spreadsheet-based processes
Strengthen governance, security, and auditability
Provide a scalable platform to support future business growth
Solution
AGER BI partnered closely with the client to design and deliver a modern enterprise analytics platform using Microsoft Fabric and Power BI.
The solution was built using a best-practice Medallion Architecture, providing a governed and scalable framework for data ingestion, transformation, modelling, and reporting.
Key components included:
System Integration: Automated ingestion and integration of data from multiple operational systems, including fleet and equipment management, shipping and logistics, contractor management, and corporate business applications.
Enterprise Data Warehouse: Development of curated enterprise data models delivering integrated reporting across shipping and logistics, production performance, equipment utilisation, financial management, and operational and safety performance.
Performance Analytics: Creation of executive dashboards and KPI frameworks to monitor project delivery efficiency, profitability, and customer satisfaction.
Change Management: Alignment of business processes with the new data ecosystem, ensuring buy-in across departments through training and stakeholder engagement.
The resulting architecture provided the flexibility to incorporate advanced analytics and machine learning models in the future, allowing the business to continue evolving its insights capability.
Benefits
The Microsoft Fabric platform transformed the organisation’s reporting and analytics capability by providing a trusted, enterprise-wide source of operational and financial information.
Key outcomes included:
Improved decision-making: Leadership gained real-time visibility into operational performance, shipping activity, equipment utilisation, safety metrics, and financial outcomes.
Reduced Manual Reporting: Automated data pipelines and reporting processes significantly reduced manual effort and spreadsheet-based reconciliation.
Consistent and Trusted Data: A centralised semantic layer ensured business users worked from consistent definitions and trusted metrics across all reporting.
Enhanced Governance and Security: Enterprise-grade governance, security controls, and auditability improved confidence in data quality and compliance.
Security Scalable Analytics Foundation: The Microsoft Fabric platform provides a future-ready analytics foundation capable of supporting ongoing growth, advanced analytics, and additional business systems.
By implementing a robust data strategy, the organisation now operates with greater insight, control, and confidence, turning information into a genuine competitive advantage across the construction and insurance restoration industry.
