Spotfire® Quarterly Update - Q3 2026
Connecting Innovation to Industrial Impact
Welcome to the inaugural Spotfire Quarterly Update what’s new hub, a new quarterly series designed to connect the dots between product innovation and the outcomes it enables.
Industrial organizations face growing complexity, increasing data volumes, and rising pressure to make faster, more confident decisions. Each quarter, we'll highlight the innovations that help engineers, scientists, and operational teams investigate faster, handle greater complexity, trust what they find, and apply analytics more effectively in their industry.
Explore the innovations shaping this quarter's progress and the impact they can deliver.
Every industrial decision starts with a question. This quarter's innovations help teams
move from initial investigation to confident action through a connected analytical workflow.
Industrial decisions rarely happen in a single step. Teams must first understand what is happening, investigate increasingly complex data, validate their findings, and ultimately apply those insights within the context of their operation.
As data volumes grow, systems become more interconnected, and pressure to make faster decisions increases, organizations need more than isolated analytical capabilities; they need a connected path from understanding to execution. The themes featured throughout this update reflect the key areas where Spotfire continues to invest to support that journey.
From AI-assisted investigation and scalable analytics to statistical confidence and industry-specific workflows, these advancements are designed to help users understand more quickly, handle greater complexity, trust what they find, and apply insights more effectively within their industry.
1. Understand faster
AI-Augmentated Investigation
Industrial experts are being asked to make faster decisions while navigating growing volumes of data and increasingly sophisticated analytical environments. While AI has the potential to accelerate investigation, organizations also require transparency, trust, and control over how insights are generated.
This quarter, Spotfire expanded its AI-assisted investigation capabilities through enhancements to Spotfire Copilot™, conversational analytics, and context-aware assistance. By embedding intelligence directly within analytical workflows, users can navigate analyses more naturally, accelerate exploration, and move from questions to understanding faster, all while maintaining visibility into how insights are generated and validated. The result is a more intuitive investigative experience that helps teams spend less time navigating tools and more time understanding what their data is telling them.
2. Handle greater complexity
Investigation at Scale
Industrial organizations continue to generate larger and more complex datasets across operational, engineering, and business systems, yet many analytical workflows still rely on sampling, data movement, or disconnected tools that limit the depth and speed of investigation.
This quarter's advancements in push compute, connectivity, and scalable analytical workflows help users work with data where it resides while maintaining the interactivity required for effective exploration. By reducing unnecessary data movement and expanding analytical scale, Spotfire enables teams to investigate broader datasets, uncover deeper insights, and make more informed decisions without disrupting established workflows or governance practices, maintaining the flexibility required for modern industrial investigation.
3. Trust what you find
Trusted Industrial Decisions
Finding a pattern is only the beginning. In industrial environments, decisions often require statistical validation, contextual understanding, and confidence that observed results are meaningful rather than coincidental.
This quarter introduces new ways to embed statistical rigor directly into visual analysis through capabilities such as Statistics Layers, Statistical Measures Reference Elements, and integrated statistical workflows. By bringing validation closer to the investigative process, Spotfire helps users move more confidently from observation to action, combining visual insight with statistical evidence to support more reliable and defensible decisions, transforming observations into evidence-backed decisions with greater confidence and transparency.
4. Apply it in your domain
Industry-Native Analytics
The most valuable analytics are those that reflect the realities of the industries they serve. Generic tools often leave organizations responsible for adapting technology to specialized workflows, creating friction between analysis and decision-making.
This quarter, Spotfire continued to expand industry-native capabilities that align analytics with the needs of energy, manufacturing, and other industrial domains. Through specialized workflows, contextual visualizations, and domain-specific analytical capabilities, users can apply insights within the context of their industry, helping bridge the gap between investigation and operational decision-making.
Spotfire Quarterly Update
This quarter's innovations are designed to strengthen every stage of the analytical journey.
Watch the on-demand Spotfire Quarterly Update webinar to see how advancements in AI, scalable analytics, statistical rigor, and industry-native capabilities help teams move more confidently from questions to decisions.