Supaboard – An AI Business Data Analysis Platform that Generates Charts through Natural Language Questions

What is Supaboard?

Supaboard is a powerful AI-driven data analytics platform that helps businesses quickly generate intelligent reports and make informed decisions. Supaboard supports connections to over 110 data sources, enabling users to create custom views in just a few minutes, covering key data such as sales metrics and customer behavior patterns. Users can ask questions in natural language, and the platform instantly generates charts, tables, and in-depth insights without requiring any coding. The platform ensures data security through read-only access and granular access controls, providing enterprise-grade data protection.

The main functions of Supaboard

• Data integration: Connect to more than 110 data sources and quickly create custom views.
• Intelligent analysis: Ask questions in natural language, and AI will instantly generate charts and in-depth insights.
• Real-time collaboration: Teams can share, edit, and comment on dashboards, and share reports with one click.
• Visualization and customization: Create real-time updating dashboards, and AI provides clear action suggestions.
• Data security: Ensure data privacy through read-only access and fine-grained permission control.

The official website address of Supaboard

• Website address: supaboard.ai

The product pricing of Supaboard

• Starter Plan: $82 per month per user, up to 20 dashboards, up to 10 connections, connect to major databases, and gain insights from data.
• Pro Plan (Most Popular): $166 per month per user, 1,000 prompts per month, up to 200 dashboards, unlimited connections, full API access, granular permissions, and priority support.
• Enterprise Plan: Custom pricing, unlimited requests, exclusive support, advanced security, and audit logs.

Application scenarios of Supaboard

• Enterprise Data Analysis: Quickly integrate multi-source data such as sales, finance, and customer behavior, and generate real-time reports to assist management in making informed decisions.
• Team Collaboration: Team members can share and edit data analysis results in real time, enhancing collaboration efficiency and decision-making speed.
• Industry Insights: Leveraging the expertise of AI analysts, provide in-depth insights for different industries (such as e-commerce, finance, and healthcare).
• Data-Driven Marketing: Analyze market trends and user feedback to optimize marketing strategies and improve marketing effectiveness.
• Risk Monitoring and Early Warning: Continuously monitor business data in real time. AI automatically identifies risks and provides early warnings, enabling enterprises to respond quickly.