Introduction

What is OpenAnalyst?

OpenAnalyst is a cloud-native analytics platform built around artificial intelligence. Rather than requiring you to write SQL, configure complex BI dashboards, or rely on data engineering teams for every insight, OpenAnalyst lets analysts, product managers, and executives interact with their data in plain language. The platform connects to your existing data sources, learns your schema, and generates dashboards, reports, and predictive models on demand.

At its core, OpenAnalyst combines large language models with a purpose-built analytics runtime. When you ask a question like "Which customer segments drove the most revenue last quarter?", the platform translates that intent into the appropriate query, executes it against your connected data, and returns a formatted visualization — all without you writing a single line of code.

Key Features

OpenAnalyst ships with a comprehensive feature set designed to cover the full analytics workflow, from raw data ingestion to executive-level reporting.

• Real-time Analytics: Connect to live databases and streaming data sources for dashboards that reflect current state without manual refresh.
• Predictive Analytics: Leverage built-in ML models to forecast trends, detect anomalies, and surface leading indicators before they become lagging ones.
• Automated Reporting: Schedule reports to be generated and distributed on a cadence you define — daily digests, weekly summaries, or custom triggers.
• Data Visualization: An extensive chart library covering bar, line, scatter, heatmap, funnel, cohort, geospatial, and more, all configurable through natural language or a drag-and-drop interface.
• AI Agents: Autonomous analytics agents that monitor your data continuously, surface anomalies, and execute multi-step analysis pipelines without human intervention.
• 24+ Integrations: Native connectors for databases, cloud storage, SaaS tools, and productivity platforms so your data stays in one place.

Supported AI Models

OpenAnalyst gives you direct control over which AI model powers your analysis. This matters because different models have different strengths — some excel at structured reasoning, others at natural-language summarization or code generation. You can switch models per workspace, per agent, or per individual query.

Who Is OpenAnalyst For?

OpenAnalyst is designed for teams that need fast, reliable answers from data without maintaining a full data engineering stack. Typical users include:

• Business analysts who need self-serve access to operational metrics without waiting for engineering sprints.
• Product managers tracking feature adoption, funnel conversion, and retention cohorts in real time.
• Finance teams automating recurring revenue reports, variance analysis, and forecasting models.
• Data engineers who want to accelerate dashboard delivery and offload ad-hoc query demand from their pipelines.
• Executives who need clean, narrative summaries of business performance delivered automatically to their inbox.

Prerequisites

Getting started with OpenAnalyst requires only a modern web browser and access to at least one data source. There is nothing to install locally — the platform runs entirely in the cloud at app.openanalyst.com.

• A supported browser (Chrome 110+, Firefox 112+, Safari 16+, or Edge 110+)
• An account at app.openanalyst.com — create one for free, no credit card required
• Credentials for at least one data source (database connection string, API key, or file upload)
• For enterprise SSO: your organization's SAML 2.0 identity provider configuration

Your First Steps

If this is your first time using OpenAnalyst, we recommend following this path to get productive quickly:

1. Create your free account at app.openanalyst.com — setup takes under two minutes.
2. Follow the Quick Start guide to connect your first data source and create your first dashboard.
3. Review the Configuration page to customize your workspace, set your preferred AI model, and configure notifications.
4. Explore Data Providers to see all supported integrations and add more data sources.
5. When you are ready for automation, visit the AI Agents page to set up continuous monitoring and alerting.