InfinityQS advises manufacturers to unify data to achieve enterprise visibility | Automation.com

InfinityQS advises manufacturers to unify data to achieve enterprise visibility

InfinityQS advises manufacturers to unify data to achieve enterprise visibility

December 7, 2016 – InfinityQS International, the data, technology, and manufacturing experts that create enterprise visibility and promote global transformation, advises manufacturers to unify plant-level quality data to attain enterprise visibility. The company reveals that the traditional approach of managing data in isolated local databases prevents manufacturers from applying strategic improvements to their overall manufacturing processes. But, organizations can gain visibility over disparate data and leverage it to drive strategic thinking across manufacturing operations by using strong quality software to apply new data collection practices and modern analytics.

Big data, the industrial Internet of Things, and cloud computing are enabling unparalleled collection, analysis, and storage of data—a game-changing opportunity for manufacturers when used together to unify disparate data streams. Further, deploying a Manufacturing Intelligence system that centralizes data storage can lead to huge cost-savings through waste reduction, overall equipment effectiveness, and improved performance efficiency.

Michael Lyle, president and CEO, InfinityQS, said, “Manufacturers are operating in an increasingly unpredictable and ever-changing global market. Not only is the geopolitical climate somewhat uncertain, but new regulations have sprung up in many markets to deal with technological and economic change. At such a tumultuous time, it’s important for manufacturers to be agile wherever they operate. Unifying and streamlining data collection from disparate plants enables them to attain an organization-wide view, analyze the data, and rapidly adapt the whole enterprise accordingly.”

Unfortunately, many manufacturers use antiquated data systems that keep data stored on site at individual locations. While these systems might be effective for improving individual plant performance and tackling problems in a reactive manner at a local level, they prevent manufacturers from conducting more sophisticated analyses at the enterprise level. They also limit the manufacturer’s ability to gain real-time visibility over larger, systemic problems.

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