Inside Sigma Assistant: The AI Engine Powering Sigma Computing

Overview

Sigma Assistant is Sigma’s natural‑language interface that lets anyone explore data, analyze insights, and build dashboards or apps conversationally - while staying fully inside the governed warehouse environment. It understands certified metrics, semantic models, and workbook lineage, ensuring every answer is transparent, traceable, and secure. Instead of exporting data to external AI tools, Sigma Assistant works directly on live warehouse data, preserving row‑level security and auditability while making analysis feel as intuitive as chatting with an analyst.

Beyond answering questions, Sigma Assistant acts as a conversational builder. Users can describe dashboards, layouts, or analytical workflows and have them generated instantly, accelerating development without sacrificing governance. By unifying exploration and creation in a single interface, Sigma Assistant becomes the AI layer that transforms Sigma into a conversational, governed, and insight‑driven analytics platform.

5 Ways to Use Sigma Assistant

1. Ask Analytical Questions

Use natural language to get answers instantly without writing SQL. You can ask questions like “What drove revenue growth last quarter?” or “Which regions have the highest churn?” and Sigma Assistant returns governed, warehouse‑accurate insights.

2. Build Dashboards and Apps

Describe the visuals, KPIs, or layouts you want, and Sigma Assistant generates dashboards or multi‑page apps automatically. This accelerates development and helps teams move from idea to working analytics assets much faster.

3. Refine Existing Dashboards

Iterate on dashboards conversationally by asking for adjustments - such as adding filters, changing chart types, breaking down data by a new dimension, or inserting new components. Refinement becomes a smooth, guided process instead of manual rebuilding.

4. Generate Narratives

Sigma Assistant can summarize dashboards, explain trends, and highlight key drivers in plain language. This helps users understand not just what the data shows, but why it matters - ideal for reports, presentations, and decision‑making.

5. Explain Metrics and Data Models

Ask Sigma Assistant to clarify how a metric is defined, what tables feed a model, or how a calculation works. This builds trust in the numbers and helps users navigate complex semantic models without needing deep technical knowledge.

Benefits of Using Sigma Assistant

Sigma Assistant enhances how teams work with data by making exploration, insight generation, and dashboard creation dramatically faster and more intuitive. Its conversational interface reduces friction across the analytics workflow, empowering more people to engage with data and accelerating the pace of decision‑making.

Here are some of the benefits of using Sigma Assistant.

• Faster analysis for all users - Natural‑language queries let anyone get answers instantly without writing SQL or navigating complex workbook structures.

• Rapid dashboard and workbook creation - Users can describe the visuals or layouts they need, and Sigma Assistant generates them automatically, significantly reducing build time.

• Easier refinement and iteration - Conversational follow‑ups make it simple to adjust charts, add filters, or explore new angles without rebuilding components manually.

• Reduced dependency on technical expertise - Business users can perform meaningful analysis independently, freeing data teams to focus on modelling, governance, and deeper insights.

• Clear narrative summaries of insights - Sigma Assistant can explain trends, highlight drivers, and summarize dashboards, helping users understand the “why” behind the numbers.

• Accelerated onboarding for new users - The conversational interface lowers the learning curve, allowing new team members to become productive in Sigma much faster.

How Sigma Assistant Differs from Other AI Tools

Sigma Assistant stands apart from typical AI analytics tools because it is built inside the governed warehouse environment, not bolted on from the outside. Most AI tools rely on exporting data, duplicating datasets, or running analysis in external systems - introducing security gaps, inconsistent definitions, and unverifiable outputs. Sigma Assistant solves these problems by making AI native to your warehouse and aligned with your enterprise governance model.

Here are some of the ways Sigma Assistant differs from other AI tools.

• Warehouse‑native AI - Works directly on live warehouse data instead of exporting it to external LLMs, keeping everything governed, secure, and up‑to‑date.

• Respects enterprise governance - Automatically inherits row‑level security, certified metrics, semantic models, and permissions, ensuring consistent and compliant analysis.

• Transparent and inspectable outputs - Shows the SQL, formulas, and workbook logic behind every answer, avoiding the “black box” problem common in external AI tools.

• Understands your business definitions - Interprets questions using certified metrics and semantic models, reducing misinterpretation and ensuring aligned results.

• Conversational building, not just Q&A - Can generate dashboards, layouts, and workflows from natural‑language instructions, going beyond simple question‑answering.

• No data movement or duplication - Eliminates the need for extracts, shadow pipelines, or cached datasets, reducing risk and operational overhead.

• Context‑aware within Sigma - Uses workbook lineage and model relationships to provide accurate, governed insights grounded in your existing analytics environment.

• Designed for enterprise scale - Built for regulated industries and large organizations that require auditability, traceability, and secure collaboration.

Conclusion

Sigma Assistant represents a major shift in how teams interact with data. By bringing natural‑language exploration, governed AI reasoning, and automated workflow execution into a single warehouse‑native interface, Sigma removes the traditional barriers between business users, analysts, and the underlying data models that power decision‑making. Insights become easier to uncover, dashboards become faster to build, and actions become safer to automate - all without compromising governance or security.

As organizations push toward more intelligent, real‑time, and collaborative analytics, Sigma Assistant stands out as the engine that makes this transformation practical. It turns the warehouse into a conversational workspace, empowers every user to work at the speed of thought, and ensures that AI‑driven decisions remain transparent, auditable, and trustworthy. In a landscape crowded with external AI tools, Sigma Assistant shows what’s possible when AI is embedded directly where the data lives.

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