Case Study: Ryerson
Implementing analytics improves operational output
To better understand and update operations, Ryerson used IBM’s Cognos TM1—allowing it to make key analyses and improve supply chain performance.
How it works
This solution enhances efficiency of operations by controlling costs through better synchronization of optimal material designs. It also provides the ability to deliver on commitments by closing the loop between production planning, scheduling, execution, and tracking.
How you benefit
Gain near real-time visibility of your operational assets and create a sense-and-respond environment that enables you to better understand, forecast and manage your end-to-end production environment. By leveraging field instrumentation and automation, you can act on event-based triggers enabling you to minimize shutdowns. Using data integration and big data analytics, you can monitor trends and performance indicators in order to reduce safety risks and environmental impact. Provide instant access to key data for improved enterprise-wide decision making. Optimize upstream oil and gas production and profitability with a more integrated and adaptive operational environment.
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