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Featured Events
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Sep 01Happening Today
Geospatial library for Spotfire: from scattered locations to spatial decisions
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The Geospatial Library for Spotfire helps users answer these questions inside Spotfire through a connected set of Python-based data functions. These functions turn scattered spatial data into map-ready analytical layers, including grids, density surfaces, interpolated surfaces, contours, buffers, Voronoi polygons, and point-in-polygon summaries.
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Sep 09
Scaling yield and process insight: From data volume to decision confidence
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Analyze complex manufacturing data at scale without breaking your workflow In high-tech manufacturing, understanding yield and process behavior requires analyzing massive, high-dimensional datasets across thousands of variables, tools, and process steps. But as data volumes grow, workflows often break down. Engineers are forced to simplify analyses, sample data, or move between systems — slowing i
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Sep 17
Spotfire Quarterly Update - September 2026
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Exploring the innovations shaping the future of visual industrial analytics
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Online Events
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Happening Today
Geospatial library for Spotfire: from scattered locations to spatial decisions
The Geospatial Library for Spotfire helps users answer these questions inside Spotfire through a connected set of Python-based data functions. These functions turn scattered spatial data into map-ready analytical layers, including grids, density surfaces, interpolated surfaces, contours, buffers, Voronoi polygons, and point-in-polygon summaries.
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Scaling yield and process insight: From data volume to decision confidence
Analyze complex manufacturing data at scale without breaking your workflow In high-tech manufacturing, understanding yield and process behavior requires analyzing massive, high-dimensional datasets across thousands of variables, tools, and process steps. But as data volumes grow, workflows often break down. Engineers are forced to simplify analyses, sample data, or move between systems — slowing i
-
Spotfire Quarterly Update - September 2026
Exploring the innovations shaping the future of visual industrial analytics
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From time-based signals to understanding: Investigating industrial process behavior
Time series analytics for complex, time-dependent workflows Industrial operations are driven by processes that evolve over time. From refining and chemical production to bioprocessing and advanced manufacturing, engineers and analysts must interpret complex, time-dependent behavior across thousands of signals. Yet understanding what is happening is rarely straightforward. Variability emerges acros
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From monitoring to root cause: Bringing agility to industrial processes
Using reference context to drive confident decisions Understanding process behavior is only part of the challenge. Industrial teams must also evaluate that behavior against expected operating conditions, safety limits, and quality targets. Without context, even the most detailed data can be difficult to interpret. What matters is not just what is happening, but whether it is within acceptable boun
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Pushing the Limits with Spotfire Push-Compute
Join this Dr. Spotfire session to see how Spotfire 15.0 scales massive datasets with new push compute capabilities. You can now connect directly to Snowflake and Databricks to run complex calculations and data transformations right where your data lives. Learn how to eliminate data movement bottlenecks and leverage native cloud processing power for faster analytics.
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Unlocking Spotfire's Actionlog
Every time a user logs into Spotfire, opens a dashboard, or a Scheduled Update runs, Spotfire quietly takes a note. These notes are stored in the Spotfire Actionlog, arguably the most valuable, yet frequently underutilized, diagnostic tool available to Spotfire Administrators. The action logs also record system monitoring information from Spotfire Server, Web Player and Automation Services.
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Happening Now
Spotfire® Quarterly Update
Exploring the innovations shaping the future of visual industrial analytics
-
Happening Today
Geospatial library for Spotfire: from scattered locations to spatial decisions
The Geospatial Library for Spotfire helps users answer these questions inside Spotfire through a connected set of Python-based data functions. These functions turn scattered spatial data into map-ready analytical layers, including grids, density surfaces, interpolated surfaces, contours, buffers, Voronoi polygons, and point-in-polygon summaries.
-
Scaling yield and process insight: From data volume to decision confidence
Analyze complex manufacturing data at scale without breaking your workflow In high-tech manufacturing, understanding yield and process behavior requires analyzing massive, high-dimensional datasets across thousands of variables, tools, and process steps. But as data volumes grow, workflows often break down. Engineers are forced to simplify analyses, sample data, or move between systems — slowing i
-
Spotfire Quarterly Update - September 2026
Exploring the innovations shaping the future of visual industrial analytics
-
From time-based signals to understanding: Investigating industrial process behavior
Time series analytics for complex, time-dependent workflows Industrial operations are driven by processes that evolve over time. From refining and chemical production to bioprocessing and advanced manufacturing, engineers and analysts must interpret complex, time-dependent behavior across thousands of signals. Yet understanding what is happening is rarely straightforward. Variability emerges acros
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