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PRISM Analytics provides a “window” into the global manufacturing supply chain that creates the transparency and insight needed to improve performance. PRISM Analytics (PRISM) is a Business Intelligence solution for global manufacturing supply chains within the electronics manufacturing industry. PRISM improves business decision support by providing cloud-based transparency for the performance metrics needed by decision-makers to make informed decisions. PRISM connects seamlessly to Derby's web-based data collection framework (Shop Floor Connect) so access to live shop floor data is readily available to support "near" real-time performance monitoring. PRISM is a cloud-based solution that centralizes all data collected in the Derby Cloud so local, remote or mobile users can securely monitor performance metrics and Key Performance Indicators from anywhere at any time. PRISM is focused on maximizing profitability by turning shop floor data into the actionable intelligence needed to detect opportunities to reduce cost and increase efficiency across the global manufacturing supply chain. |
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Key Features
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Derby INSIGHT Solution The Derby INSIGHT solution stack provides a cloud-based data collection and decision support solution for the electronics manufacturing industry, from automated collection to data analysis. PRISM Analytics Overview PRISM is a data visualization tool that provides the transparency needed to monitor the performance metrics required to improve business decision support on the shop floor and across the manufacturing supply chain. PRISM was designed to support a range of use-models out-of-the-box. PRISM Analytics Use-Models
The Quality Management use-model is used to monitor key quality metrics (e.g. First Past Yield) by site, process step and assembly type in near real-time on the shop floor or remotely via the Internet. |
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PRISM Analytics uses live shop floor data to monitor performance and improve business decision support across global manufacturing supply chains, enabling companies to “do more with less resources”. |
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