> For the complete documentation index, see [llms.txt](https://docs.ngsurvey.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ngsurvey.com/ai-suite/artemis-ai-agent/data-analysis-and-reporting.md). # Data Analysis & Reporting Artemis extends ngSurvey with advanced AI-powered analytics, transforming survey data into clear, contextualized, and actionable insights. Rather than relying solely on predefined reports, users can interact with Artemis to explore results dynamically, interpret patterns, and generate meaningful conclusions in real time. Artemis supports multiple layers of analysis: #### 📊 General Data Analysis Explore survey results across questions, segments, and time periods using natural language prompts. Artemis automatically selects relevant metrics, applies comparisons, and highlights trends, helping users quickly understand overall performance and key drivers. #### 📝 Open Text Analysis Analyze free-text responses using AI-powered semantic interpretation. Artemis can summarize themes, detect sentiment, cluster comments by meaning, and surface recurring topics allowing teams to extract value from qualitative feedback at scale. #### 🧠 AI-Generated Insights Beyond displaying numbers, Artemis interprets results and provides contextual explanations. It can identify notable changes, emerging patterns, anomalies, and correlations, delivering insights that support faster and more confident decision-making. #### 📈 Reporting Integration Insights generated by Artemis are not isolated outputs. Results can be integrated directly into existing ngSurvey reports or used to automatically generate new reports from scratch. This ensures continuity between conversational analysis and structured reporting workflows. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.ngsurvey.com/ai-suite/artemis-ai-agent/data-analysis-and-reporting.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.