A STEELY GRIP
Think steel plants and what comes to mind are massive structures, heavy
machinery, heat, fumes, sound and, of course, piles of steel. Steel plants also
generate voluminous data throughout the value chain-from raw material
procurement, inventory and regulations to safety measures and more. While
they have analytics integrated into the systems, most steel plants fail to leverage
the full potential of the Goliath-like power advanced analytics offers.
Tata Steel, a leading global steel producer, wanted to use advanced analytics to
manage their plant operations in Jamshedpur, Jharkhand, more smoothly and
efficiently. They partnered with Accenture to make a significant cultural shift
toward data-driven capabilities, build a strong analytics talent pool and establish
a comprehensive analytics center of excellence (CoE) to achieve superior
business outcomes and improved efficiencies.
UNLOCKING
THE VALUE OF DATA
Tata Steel is a subsidiary of the Indian multinational conglomerate holding
company, Tata Sons. The steelmaker has a commercial presence in 50
countries and produces approximately 13 million metric tons of crude steel
per annum across its India operations.
The Jamshedpur plant generates a substantial amount of data from their various
processes across the enterprise, such as procurement, inventory, operations
and maintenance (from mining to rolling), supply chain, payroll, sales and
marketing, government regulations and more. To crunch these large data sets
and derive meaningful insights, the plant was applying conventional methods
using legacy system architecture, a traditional mindset and a deep-rooted
improvement culture. These traditional methods had limitations, but these could
be overcome by using advanced analytics to take a quantum leap toward
efficient business operations, mitigate data-related risks and gain a competitive
edge.
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