Industry: Steel Manufacturing / Occupational Health & Safety and Production
Technology: Database Services
Arcelor Mittal, a global leader in steel production, needed to modernize its analytics architecture for Occupational Health & Safety and Production. Power BI reports connected directly to transactional systems were suffering from significant performance issues that hindered decision-making. At the same time, projected data growth of up to 20 times made traditional approaches unsustainable. The organization required a modern, scalable, cloud-native architecture capable of separating transactional workloads from analytics while delivering reliable insights in a critical industrial environment.
Arcelor Mittal relied on an analytics architecture where Power BI reports connected directly to transactional systems, creating performance bottlenecks that slowed critical reporting processes for production and occupational safety.
The lack of a dedicated analytics layer limited the organization’s ability to leverage data efficiently. Additionally, projected data growth of up to 20 times required a cloud-native, highly scalable platform capable of supporting future demand without performance degradation or architectural redesign.
Aleson ITC designed and implemented a modern Data Lakehouse architecture on Databricks and Azure, completely decoupling analytics from transactional systems. The project included:
Customer benefits
Arcelor Mittal now operates a modern and scalable analytics platform that transforms production and occupational safety data into actionable insights.
By separating Power BI from transactional systems, performance issues were eliminated, while the Databricks Lakehouse architecture provides the scalability required to support future growth.
Additionally, the Occupational Health & Safety team now relies on trusted and up-to-date information to support critical decision-making processes.
Resultados destacados
Transformed analytics performance
The analytics layer was fully decoupled from transactional systems, eliminating Power BI bottlenecks and improving access to business information.
Scalability for 20x growth
A Databricks and Delta Lake Data Lakehouse architecture built to support up to 20 times the current data volume.
Data as a driver of industrial safety
A Power BI semantic model built on trusted and optimized data provides visibility into key Occupational Health & Safety indicators.
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