Investigation Workspace and Cross-Insight Comparison for IBM SQL Data Insights Pro

I propose adding an Investigation Workspace and Cross-Insight Comparison capability to IBM SQL Data Insights Pro to help organizations manage complex AI-powered data investigations more efficiently and systematically.

This enhancement would provide users with a dedicated workspace where they could collect and organize multiple SQL Data Insights results from similarity searches, anomaly detection, clustering, and other AI-powered analyses. Users could save important reference records, investigation queries, result sets, observations, and related insights within a single investigation context.

The proposed capability could allow users to compare multiple insights side by side and identify relationships between different investigation results. For example, an analyst investigating a suspicious transaction could save similar transactions, anomalous records, related customer profiles, and other relevant findings in one workspace and compare them as the investigation progresses.

The workspace could also maintain a clear investigation history showing which SQL queries and analysis steps produced each result. This would make it easier for users to reproduce an investigation, revisit previous findings, collaborate with colleagues, and maintain a structured record of analytical decisions.

This enhancement would help enterprises:

• Organize complex AI-powered data investigations.

• Compare multiple insights and analysis results more efficiently.

• Maintain a structured history of investigation steps.

• Improve collaboration between analysts, developers, and business teams.

• Make complex data investigations easier to reproduce and review.

• Reduce the need to manually track queries and analytical findings externally.

• Support more consistent and efficient enterprise decision-making.

By adding an investigation-focused workspace to IBM SQL Data Insights Pro, IBM could extend its existing AI-powered insight capabilities from individual data discoveries toward a more complete investigation workflow, helping organizations turn multiple AI-generated findings into structured, traceable, and actionable enterprise investigations.