Information Builders Case Studies Tata Steel Forges Supply Chain Connections With WebFOCUS and DataMigrator

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	Tata Steel Forges Supply Chain Connections With WebFOCUS and DataMigrator Information Builders

Tata Steel Forges Supply Chain Connections With WebFOCUS and DataMigrator

Information Builders

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	Higher production yields due to the identification and improvement of manufacturing constraints.
Impact #2	More economical shipping procedures were established, maximizing the efficiency of loading and delivery activities.
Impact #3	Faster response to customer inquiries due to the centralized reporting system.

Impact #1

Higher production yields due to the identification and improvement of manufacturing constraints.

Impact #2

More economical shipping procedures were established, maximizing the efficiency of loading and delivery activities.

Impact #3

Faster response to customer inquiries due to the centralized reporting system.

Benefit #1	Approximately 750 users interact with WebFOCUS every day, running more than 1,000 reports, queries, and data requests.
Benefit #2	One popular report, which tracks rail schedules, is run more than 1,600 times per week.

Benefit #1

Approximately 750 users interact with WebFOCUS every day, running more than 1,000 reports, queries, and data requests.

Benefit #2

One popular report, which tracks rail schedules, is run more than 1,600 times per week.

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Overview

Tata Steel Forges Supply Chain Connections With WebFOCUS and DataMigrator

Operational Impact

Quantitative Benefit