Tata Steel Forges Supply Chain Connections With WebFOCUS and DataMigrator
Company Size
1,000+
Region
- Europe
Country
- Netherlands
- United Kingdom
Product
- WebFOCUS
- ReportCaster
- iWay DataMigrator
Tech Stack
- SAP
- Oracle
- ADABAS
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Metals
Applicable Functions
- Discrete Manufacturing
- Logistics & Transportation
Use Cases
- Inventory Management
- Predictive Maintenance
- Process Control & Optimization
Services
- Data Science Services
- System Integration
About The Customer
Tata Steel is one of the largest steel producers in the world and a leading supplier to construction, automotive, aerospace, packaging, rail, and engineering markets. The company operates in 26 countries, making it one of the world’s most geographically diversified steel producers. Tata Steel serves a wide range of markets including automotive, construction, energy, aerospace, and packaging. The company has a unique approach to running a lean manufacturing operation that is increasingly driven by analytics. Tata Steel espouses a manufacturing methodology called 'Theory of Constraints' that involves identifying limiting factors standing in the way of achieving production goals, and then systematically improving those constraints until they no longer pose a bottleneck.
The Challenge
Tata Steel, one of the world's largest steel producers, was facing a challenge in empowering its users with timely, comprehensive information on customer-order and steel-production processes. The data was drawn from various disparate sources including SAP, Oracle, and other systems. The company was following a manufacturing methodology called 'Theory of Constraints' which involved identifying limiting factors standing in the way of achieving production goals, and then systematically improving those constraints until they no longer posed a bottleneck. However, the company needed a way to identify these constraints that affect manufacturing efficiency. Furthermore, the company had many different reporting systems with little standardization, leading to multiple versions of the truth.
The Solution
Tata Steel decided to centralize analytics through interactive reports and InfoApps™ that leveraged near-real-time data as well as historical data from multiple information systems. The company used business intelligence (BI) and integration technology from Information Builders to identify the constraints that affect manufacturing efficiency. WebFOCUS analytics was at the heart of the broad-reaching effort to measure the operation on a point-by-point basis. An intranet-based BI application called RAPID was developed that drew information from a variety of data sources, including ABADAS, Oracle, CSC, Excel, SAP, and SAP BW to measure the manufacturing operation on a point-by-point basis. WebFOCUS allowed Tata Steel to centralize reporting via the corporate intranet, making it easier for people to analyze data and distribute reports. InfoApps™ encouraged self-service analyses, while parameterized reports enabled self-service inquiries.
Operational Impact
Quantitative Benefit
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