Unlocking the Power of Spotfire 14.6, Copilot, and Data Science: Full Webinar Recap
As Spotfire continues to evolve into a leading visual data science platform, organisations are looking for clarity on how to navigate new releases, adopt AI-powered analytics, and build workflows that support both innovation and long-term stability. In this webinar, Cadeon’s analytics and technology leaders walk through the latest Spotfire capabilities—covering the 14.6 Long-Term Support (LTS) release, the fast-moving innovative release track, the expanding capabilities of Spotfire Copilot, and the new Spotfire Data Science environment.
Hosted by Amanda Summers, with deep technical insights from James Louie and Kelly Blair, the session offers practical guidance for teams evaluating upgrades or exploring how Spotfire’s new capabilities can accelerate decision-making.
Understanding Spotfire’s Release Strategy: Innovative vs. Long-Term Support
Spotfire now offers two release tracks designed for different types of organisations:
Long-Term Support (LTS)
The 14.6 LTS release emphasises stability, predictable upgrades, and extended support—ideal for enterprise environments that require reliability over rapid feature turnover. LTS releases arrive every 18–24 months and include hot fixes and service packs without unexpected changes.
Innovative Releases
Spotfire’s innovative track, including the newly announced 14.7, delivers rapid improvements and new capabilities more frequently. It moves faster—up to four releases per year—offering cutting-edge functionality for teams comfortable with shorter upgrade cycles and a one-year support window.
Understanding the difference helps organisations choose the right upgrade path for their data strategy.
What’s New in Spotfire 14.6 LTS
Spotfire 14.6 introduces meaningful enhancements across authoring, visualisation, and platform integration.
Improved Authoring Experience
The 14.6 LTS release delivers more flexible workflows, including:
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A fully undockable and searchable authoring panel
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Expanded colour and layer management for map charts
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Multi-visualisation configuration
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Reusable settings for faster setup
Smarter Data and Visualisation Tools
Key updates include:
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Restored ability to format multiple columns at once
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More flexible box plots, including horizontal orientation and expression-based statistics
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Removal of the 1,000-value limit on property controls
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Custom marker shapes for map charts—supporting company icons and status-based visuals
Updated Connectors
Spotfire 14.6 enhances interoperability with:
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Vertica OAuth2 SSO
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Updated Denodo driver (Apache Arrow Flight SQL)
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Streamlined workflows for managing connections
Together, these updates reinforce Spotfire’s positioning as a powerful environment for agile analytics and no-code/low-code data exploration.
Spotlight on Spotfire Copilot: AI for Analytics Teams
Spotfire Copilot is transforming how users interact with their data. Available as a free add-on for Spotfire 14.0 and above, Copilot integrates with major LLM providers including Azure OpenAI, OpenAI, AWS, Google Gemini, Cohere, and Hugging Face.
In the webinar, James highlights several high-impact use cases:
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Natural language search: “How do I write an expression?”
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Auto-generated visualisations (more than 13 chart types)
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Python and data function generation
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Domain-specific Q&A using indexed proprietary documents
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Automated explanations of visuals using underlying datasets
For organisations embracing AI-assisted analytics, Copilot offers a practical, low-friction entry point.
Introducing Spotfire Data Science: Advanced Analytics for Engineers and SMEs
Spotfire Data Science—available in 14.6 LTS—brings together Spotfire Analytics and Statistica under one unified platform. It’s designed for engineering-heavy industries and teams that rely on domain-specific analytics.
Industry-Driven Visualisation Tools
Spotfire Data Science includes advanced visualisation types such as:
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3D surface and line charts
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Well logs
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Gun barrel and wellbore diagrams
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Polar plots for directional analysis
New Data Functions and Metadata Capabilities
Spotfire Data Science expands analytical power with:
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Nine new built-in data functions for time series, geo-analytics, missing data, and geological calculations
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Column matching tools for metadata-driven analytics
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Improved pivot/unpivot workflows
New Connectors
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LAS file connector for direct ingestion of well log data
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Esri connector for streamlined access to ArcGIS Online, Enterprise, and GDB sources
Statistica Integration
Users gain access to advanced modelling, automated data preparation, and drag-and-drop workflows, with the ability to read and write directly to the Spotfire library. R and Python scripting remain fully supported.
This combined environment offers powerful capabilities for engineering, geoscience, and industrial analytics teams who need deeper modelling and repeatable workflows.
Want Support with Spotfire Upgrades or Analytics Strategy?
Cadeon helps organisations modernise their analytics infrastructure, implement Spotfire best practices, and activate AI-powered capabilities like Copilot and Data Science. If you’d like a consultation or technical deep dive, our team is here to help.