Spotfire® for Manufacturing

Unlock your data with advanced analytics & visual data science to drive innovation and efficiency for your smart factory

Spotfire powers your smart factory

Whether you’re a process, yield, or test engineer, fab manager, or in supply chain management, you face daily challenges like increasing costs, disrupted supply chains, strict compliance, and changing customer demands. Get smarter solutions with Spotfire, a visual data science platform that helps you reduce costs, improve operations, and increase profitability. With Spotfire for Manufacturing, you can identify production bottlenecks, detect quality issues, and predict machine failure—making your smart factory, even smarter.

Your visual data science platform for the smart factory

Enhance production yield by uncovering hidden insights

With Spotfire, you can increase production efficiency, reduce waste, and save costs. Spotfire for Manufacturing uncovers hidden insights in your data—allowing you to address production issues and improve product quality. Provide data-driven insights to your engineers and managers to improve the decision-making process. With Spotfire, you can adapt to fast-changing market demands, reduce the development of new products and processes—and ultimately, increase your competitive edge.

Leverage visuals and data science to improve efficiency

Spotfire provides clear and intuitive representations of complex data at speed. Predict equipment failures and maintenance needs based on historical data to reduce unexpected breakdowns, extend equipment life, and decrease maintenance costs. Spotfire for Manufacturing maximizes the uptime of your factory and increases operational efficiency.

Drive innovation and take proactive measures

Enhance product development, support strategic planning, and improve operational decisions with Spotfire. Rapidly identify and adjust to market trends with cutting-edge visual data science. Spotfire allows you to share insights across the organization, fostering better teamwork and cross-functional collaboration. Visualize your data science to understand the root causes of failures, identify areas for improvement, and take proactive decisions to enhance product quality and reliability.

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Customer stories

Hemlock Semiconductor uses Spotfire to optimize outputs and lower costs

$300K savings per month in electricity consumption via analytic-driven asset utilization

With Spotfire for Manufacturing, Hemlock Semiconductor can manage energy demand in real time, increase product quality, and detect production anomalies.

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Explore Spotfire for Manufacturing

Statistical Process Control Monitoring

This demo shows how process control, monitoring, and alerting in operations use statistical methods to monitor and reduce the variability of measured processes.

Wafermap Pattern Recognition

This demo uses classification techniques to identify and cluster patterns in industrial wafermaps. Additionally, it also offers a means for labeling and then classifying new wafers based on the chosen labels which use reinforcement learning.

Predictive Maintenance with Weibull Curves

Starting with failure event data, this demo fits a parametric failure model with a Weibull curve distribution to help make decisions for an optimal maintenance schedule.