What is OpenAnalyst?
OpenAnalyst AI is an intelligent, GPT-powered data workspace that merges AI-driven natural language interfaces with traditional analytic workflows. It enables users to explore, analyze, and collaborate on data, empowering both individuals and teams to quickly turn data into actionable insights.
Whether you’re a researcher, business analyst, or data scientist, OpenAnalyst helps build reusable, transparent workflows that eliminate bottlenecks and accelerate decision-making.
Key Features:
Ask questions in natural language
Connect to live data sources
Collaborate in context with team members
Build repeatable, auditable workflows
Under the Hood:
OpenAnalyst is powered by advanced LLMs (large language models) specifically fine-tuned for structured data interaction.
It’s designed to reason through your questions, generate SQL and Python when needed, and surface insights with the necessary context. OpenAnalyst also supports step-by-step thinking, capturing the process for others to understand or iterate upon.
Who can use OpenAnalyst?
Researchers and Academics: Who need to analyze datasets, document methodologies, and share reproducible insights, without spending hours on tooling or custom code.
Startups and Lean Teams: Requiring powerful data insights without the need for a full data team.
Cross-Functional Teams: (Marketing, product, ops, etc.) who want to collaborate on data-driven decisions.
Technical Teams: Looking to reduce time spent on ad-hoc questions, automate workflows, or audit AI reasoning.
Teams in OpenAnalyst
Teams allows you to:
Centralize conversations and workflows around data projects in one workspace.
Invite teammates to collaborate, share updates, and review AI-generated analyses.
Assign roles and manage permissions to control access to sensitive data and actions.
Track discussions around datasets, Notebooks, and insights in a transparent, auditable way.
Use Cases:
A product team collaborating on user engagement metrics.
A marketing team exploring campaign performance together.
An analytics team reviewing and improving shared queries with the help of AI.
With Teams, OpenAnalyst becomes your shared AI analyst, accessible to every team member with context preserved.
Features in OpenAnalyst
OpenAnalyst Features let you:
Ask questions in plain English, and OpenAnalyst translates them into real data queries.
View, edit, and customize generated code (e.g., SQL, Python) and visualizations.
Chain multiple steps into a logical sequence to build end-to-end analyses.
Document reasoning and assumptions alongside outputs, promoting transparency.
Re-run, version, and share notebooks for reproducibility and collaboration.
Use Cases:
A data scientist building a multi-step customer segmentation analysis.
A business analyst tracking sales funnel conversion across stages.
A stakeholder reviewing a Notebook to understand key business drivers.
Data Connectors in OpenAnalyst-
OpenAnalyst connects directly to your data, with no need for exports or manual uploads.
With Data Connectors, you can:
Securely link your databases, warehouses, and spreadsheets, including tools like BigQuery, Snowflake, PostgreSQL, and Google Drive.
Query live data through AI, avoiding stale or out-of-context information.
Browse schema and tables, or let OpenAnalyst guide you with intelligent suggestions.
Configure multiple sources across environments (e.g., staging vs. production).
Use Cases:
A founder quickly pulls revenue numbers from a production database.
A growth marketer connects a Google Sheet to analyze lead pipelines.
An ops team integrates Snowflake to build a real-time dashboard.
Data Connectors ensure that OpenAnalyst works with your live data securely and efficiently.