Learn how minimizing risks with insight engines can help you reap the rewards of continuous quality improvement.
Quality issues cost manufacturers enormous sums of money every year. Sometimes, they even cost them their business. But there is hope for more effective management of quality risks and costs thanks to advances in big data management technologies and advanced analytics, including artificial intelligence and machine learning.
What’s more, these technologies, as represented by the EXALEAD Asset Quality Intelligence solution, have the potential to transform quality management from a simple risk mitigation activity into a strategic tool for driving operational excellence and product innovation.
The usage and performance data and insights can also be channeled to service partners for support offering optimization, or shared with distributors to enable timely maintenance supply offers as well as the introduction of product upgrades or replacements.
As the body of insights grows, new and improved approaches to design and value chain management can be developed, further optimizing inventory levels, service level agreements and service offerings for parts and brands.
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