Latin American manufacturers have new resource for business intelligence

Optima Central and Informance International are joining together to help customers in the region build and expand efficiencies in manufacturing.


Latin American companies interested in using the resources they have to make more, spend less, and achieve higher levels of customer satisfaction have a new resource: Optima Central and Informance International are joining together to help customers in the region build and expand efficiencies in manufacturing to drive supply chain performance.

Informance EMI solutions enable manufacturing professionals and enterprise management to view real-time operational metrics and performance to make quick, informed decisions and adjustments throughout the plant or across the network. They focus on changes and improvements that have the greatest impact on operational and financial performance, and track progress against initiatives.

Optima Central president Alberto Vasquez leads a team of process management practitioners based in Argentina, Brazil, Mexico, and the U.S. as they assist manufacturers gain supply chain effectiveness. "Using Informance,” he said, “our team helps companies quickly obtain actionable insight that business executives, plant management, improvement professionals and plant operators can use to make strategic or tactical adjustments when they will have the greatest impact — immediately, not weeks or month later. Our customers now view and understand manufacturing issues within business context, which is critical to an effective value chain."

Sunil Singh, CEO and president of Informance International, added, "Optima Central has a unique perspective of the value chain. They have the vision and expertise to help companies translate manufacturing performance gains achieved with Informance into value chain effectiveness, so that businesses achieve superior manufacturing operational performance, and that it aligns perfectly with the supply chain strategy."


Optima Central
Control Engineering
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