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Transform manufacturing analytics by harnessing visual data science with Spotfire® Data Science

June 5, 2025 by JP Richard-Charman

Spotfire Manufacturing

In a recent Spotfire webinar, Spotfire experts presented on transforming high-tech manufacturing analytics with Spotfire® Data Science, specifically tailored towards the semiconductor manufacturing industry. The Spotfire expert panel, featuring Alessandro Chimera, Industry Solution Lead, Dan Rope, Senior Principal Product Manager, and Tomáš Jurczyk, Lead Data Scientist, showcased how Spotfire can expedite manufacturing decisions and solve complex problems.

Unleashing the potential of visual data science in high-tech manufacturing

Spotfire empowers manufacturing teams by combining agile exploratory visualizations seamlessly with advanced, industry-specific algorithms. This revolutionary approach places critical, actionable insights directly into the hands of engineers, enabling them to make informed decisions with unprecedented speed and confidence.

Spotfire capabilities extend far beyond visualization. The platform equips engineers with the tools to manipulate data, identify anomalies, and generate new variables in real-time. Its compatibility with Python, R, and other statistical products further enhances its data processing capabilities. This democratization of visual data science benefits a wide range of professionals, including equipment and process engineers, yield and defect analysts, product and test engineers, and data scientists.

By combining human expertise with AI-powered functionalities, Spotfire offers unmatched versatility in handling diverse data types. The platform automatically records steps, facilitates customization through bespoke visualizations, and provides powerful automation tools. Success stories from the high-tech manufacturing sector underscore the platform’s position as an indispensable asset in driving innovation and efficiency across the industry.

Spotfire: A visual-first approach to data science for high-tech manufacturers

Spotfire stands at the forefront of data-driven innovation, seamlessly blending advanced analytics with powerful visualization capabilities. Spotfire Data Science empowers subject matter experts to tackle complex challenges in high-tech manufacturing while maintaining enterprise-level scalability.

Spotfire Data Science is the most comprehensive data comprehension, preparation, modeling, and prediction solution. The platform introduces state-of-the-art functions, algorithms, visualizations, and actions, tailored explicitly for time series analysis, geospatial data interpretation, and missing data management.

Continuously evolving, Spotfire now offers industry-specific add-ons native to this latest offering, Spotfire Data Science. These enhancements address unique high-tech manufacturing needs and cross-industry challenges. Innovative visualizations, such as violin plots and box plots, leverage kernel density estimation, providing unparalleled insights into data distributions and enhancing decision-making processes.

Spotfire in action: Transforming semiconductor manufacturing

Spotfire excels in solving complex semiconductor challenges by fusing expert knowledge with powerful visual data science. It enables engineers to:

  • Analyze wafer yields with precision
  • Detect trends and anomalies in sensor data
  • Perform advanced spatial analysis on wafer maps

Features like angular zone analysis and streamlined zone calculations elevate data interpretation, driving predictive maintenance, process optimization, and better yields. 

Global leaders in semiconductor manufacturing are seeing real results with the help of Spotfire, with Hemlock Semiconductor cutting its costs significantly, and STMicroelectronics improving key process performance.

Built for scale, Spotfire is redefining analytics in semiconductor manufacturing and beyond.

Watch the full webinar, now on demand

Want to hear more from our experts about advancements in high-tech manufacturing analytics? Watch the full webinar to learn more, or reach out to the team directly to discuss your visual data science journey.

Categories: Manufacturing, Visual Data Science

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