Modern organizations rely on process mining to understand how work really happens. Yet even with powerful analytics available, turning process data into clear, actionable insights can still take time — especially when technical skills are required to extract and interpret the right information.
With IBM Process Mining, we’re simplifying this experience by introducing a new capability: Data Analyst.
Ask Questions, Get Answers
Data Analyst is designed to remove friction between users and process insights. Instead of navigating complex queries or dashboards, users can simply ask questions in natural language and receive immediate, accurate results.
Whether the question is about performance, cost, or execution patterns, the assistant translates intent into precise analytics behind the scenes. What once required SQL expertise now happens in seconds, making process exploration faster and more accessible for everyone.
From Insight to Visualization
Data Analyst doesn’t stop at answering questions. It can also transform results into clear visual representations through its text-to-chart capability. Users can instantly generate charts that highlight trends, comparisons, or outliers, and export them for sharing or further analysis.
This creates a smooth flow from inquiry to insight to communication — without switching tools or building visuals manually.
Transparency for Advanced Analysis
For users who want deeper control, Data Analyst provides full visibility into the PM-SQL queries it generates. This transparency builds confidence in the results and enables seamless reuse of queries within IBM Process Mining Analytics.
Generated SQL can be used as a foundation to create or refine widgets and dashboards, allowing teams to adapt analytics to their specific needs while keeping a single source of truth.
Built for Process Mining, Not Just Data
What sets Data Analyst apart is its deep understanding of process mining context. It is not a generic AI assistant, but a domain-aware capability fine-tuned on IBM Process Mining’s data structures and semantics. This ensures accuracy, consistency, and relevance in every interaction.
Faster Access to Process Intelligence
With Data Analyst, IBM Process Mining lowers the barrier to advanced analytics while preserving depth and flexibility. Users can move more quickly from questions to insights, support decisions with confidence, and fully leverage the value of their digital process twin.
Designed for Agentic Integration
Beyond the user experience within IBM Process Mining, we are also working on exposing the full Data Analyst experience as MCP tools. This approach enables the same natural-language analytics, SQL generation, and visualization capabilities to be easily embedded into any agentic solution.
By packaging Data Analyst as composable tools, organizations can rapidly integrate process intelligence into their own AI agents, workflows, and platforms — without rebuilding analytics logic from scratch. This ensures consistent insights, faster adoption, and a unified analytical experience across ecosystems.
With MCP-based integration, Data Analyst becomes not just a feature, but a reusable capability that brings process intelligence wherever intelligent agents operate.