Run Pipeline

You can automate end-to-end data analysis by invoking a DAG-based execution pipeline with your data path and business question. The pipeline coordinates multiple agents to explore data, identify root causes, and generate a narrative slide deck for stakeholders.

DAG-based execution is an orchestration mechanism that maps analysis tasks to a directed acyclic graph. It enables automatic dependency resolution, parallel execution, and plan pruning to transform raw data into validated narrative slide decks efficiently.

To run a data analysis pipeline with dry-run mode and resume-from-failure, invoke the pipeline command with your data path and business question. The DAG-based engine automatically handles plan pruning, parallel execution, and workflow recovery from interruptions.

Yes, you can generate narrative slides with speaker notes from raw data automatically. The pipeline processes your data exploration and root cause analysis, then formats the narrative output into ready-to-deliver slide decks with integrated speaker notes.

Yes, pipeline orchestration supports parallel execution and automatic dependency resolution through its DAG-based engine. This architecture allows multiple analysis agents to run concurrently while automatically resolving task dependencies to produce the final stakeholder deck.