A leading global steel manufacturing company, renowned for its innovation and operational scale, faced challenges in managing and utilizing the vast amounts of data generated across its production plants, supply chain, and corporate offices.
Hours delivered back to the business
SOX compliance in Settlement process automation
Success rate of bot case completion
For functional release of OBT, RTS and OGS
Business Challenges
Fragmented Data Silos: Data was scattered across various on-premises systems, legacy databases, and cloud platforms, making it difficult to access and analyze.
Limited Analytics Capabilities: The company lacked real-time analytics and insights for critical decision-making, leading to inefficiencies in production scheduling and resource allocation.
Scalability Issues: Existing systems struggled to handle the growing volume, velocity, and variety of data generated from IoT sensors, ERP systems, and operational processes.
Data Security and Compliance: Ensuring data governance and meeting industry compliance standards was a significant challenge.
What we did
for the Client
Glorious Insight partnered with the client to design and implement a comprehensive Azure Data Lake solution tailored to their needs:
Data Centralization:
Migrated data from on-premises systems and legacy databases to Azure Data Lake Storage Gen2, ensuring a single source of truth.
Integrated IoT data from production equipment and sensors using Azure IoT Hub and Azure Data Factory.
Advanced Analytics Enablement:
Deployed Azure Synapse Analytics to enable real-time data processing and create a scalable analytics platform.
Leveraged Power BI for interactive dashboards, providing actionable insights into production efficiency, supply chain performance, and financial metrics.
Scalability and Cost Optimization:
Implemented tiered storage policies within Azure Data Lake to balance performance and cost.
Designed a scalable architecture capable of supporting AI/ML models for predictive maintenance and demand forecasting.
Security and Governance:
Deployed Azure Purview for end-to-end data governance, lineage tracking, and classification.
Ensured role-based access control (RBAC) and encryption to secure sensitive data.
Established compliance with industry standards.
The Results
- Improved Operational Efficiency
- Enhanced Decision-Making
- Scalability for Innovation
- Strengthened Data Security
- Build Decision Management for every Layer
