BHP is the largest company in Australia and the world's largest mining company by market capitalization. Headquartered in Melbourne, Australia, BHP has mining operations in Australia, North America, and South America, and offices worldwide.
Challenge
BHP embarked on a new data strategy to transform into a data-centric organization, aiming to enhance data-driven decision-making. The goal was to establish an asset-centric data architecture to support business units, accelerate digital solutions delivery, and provide a robust environment for data science and advanced analytics. However, the company faced significant challenges:
- Limited Reusability of Data Sources: BHP’s application landscape required repeated engineering efforts to access the same data, leading to increased time and resource expenditure.
- Long Lead Times for Data Ingestion: Fragmented data architecture resulted in long lead times for data ingestion, delaying the delivery of business value.
- High Total Cost of Ownership: Project-centric data repositories increased complexity and costs, complicating data management.
- Integration of Diverse Data Sources: Integrating on-premises and cloud-based data was challenging due to the lack of a centralized data delivery layer, hindering seamless data integration.
Solutions
BHP deployed the Denodo Platform across major data centers in Australia, the United States, and Chile, creating a logical data fabric. This setup optimized queries, reduced data movement, and established reusable global and regional data sets. The Denodo Platform ensured high security with encrypted connections, facilitating secure handling of confidential data.
Benefits
- Reduced Project Costs and Time Delays: Rapid virtualization of data sources lowered project costs and minimized delays, speeding up data transformation and dashboard development.
- Improved Data Integration: Seamless integration of diverse data sources provided a comprehensive and efficient data integration experience.
- Efficient Data Access and Management: A centralized data delivery layer and optimized data queries reduced complexity and improved data management efficiency.
- Increased Data Security: Tight encryption and high security ensures that data remains secure throughout integration and access