Basedash is an AI-native business intelligence platform that enables users to create data visualizations, dashboards, and insights using natural language queries without requiring SQL knowledge. It connects to over 600 data sources, including databases and warehouses, and offers features like AI-powered chart generation, real-time data exploration, and collaborative tools. Designed for teams of all sizes, it simplifies data analysis, enhances decision-making, and supports various business functions such as sales, marketing, and operations with high performance and security certifications like SOC 2 Type II.
Paid
$250/mo
How to use Basedash?
To use Basedash, connect your database or data warehouse, then use natural language to ask questions or request charts. The AI interprets your queries, generates SQL if needed, and produces visualizations like bar charts or dashboards. It can handle complex data schemas, provide insights on metrics such as revenue or user activity, and allow team collaboration through shared dashboards. This tool is ideal for quickly analyzing data, monitoring KPIs, and making data-driven decisions without technical expertise.
Basedash 's Core Features
Natural Language Querying: Allows users to input questions in plain English to generate data visualizations and insights, eliminating the need for SQL knowledge and making data accessible to non-technical team members.
AI-Powered Dashboard Generation: Automatically creates beautiful and interactive dashboards for various business areas like sales, marketing, and product analytics within minutes, using advanced AI models to ensure accuracy and relevance.
Multi-Source Data Integration: Supports connections to over 600 data sources, including databases, warehouses, and cloud services, enabling seamless data aggregation and visualization from diverse platforms.
Real-Time Data Exploration: Provides tools for exploring databases in a spreadsheet-like interface, allowing users to filter, sort, and analyze data dynamically with high performance and 60fps responsiveness.
Collaborative SQL Editor: Features a powerful, multiplayer SQL editor built on VS Code framework, offering auto-formatting, version history, and autocompletion for teams to write and share queries efficiently.
Schema Awareness and Context Understanding: The AI understands database schemas and internal terminology, allowing it to handle complex queries, resolve errors, and provide contextual insights without manual configuration.
Security and Compliance: Includes SOC 2 Type II certification, ensuring data security and privacy, with options for self-hosting to meet enterprise requirements and avoid vendor lock-in.
Basedash 's Use Cases
A marketing manager uses Basedash to analyze campaign performance by asking natural language questions like 'Show me conversion rates over the last month.' This helps them quickly identify trends, optimize ad spend, and report results to stakeholders without waiting for data team support, improving campaign efficiency and ROI.
A product manager leverages Basedash to track user engagement metrics by querying 'What are the top features used this week?' They gain instant visualizations that inform product decisions, prioritize development efforts, and enhance user satisfaction through data-driven insights, speeding up iteration cycles.
A sales team utilizes Basedash to monitor revenue and customer acquisition costs by generating dashboards from CRM data. They ask 'Compare sales by region' to identify high-performing areas, allocate resources effectively, and boost sales performance without needing SQL skills, leading to increased revenue.
A startup founder uses Basedash to manage financial metrics such as burn rate and runway. By querying 'How much cash do we have left?', they get clear charts that aid in fundraising discussions and strategic planning, ensuring business sustainability and informed decision-making.
A customer success team employs Basedash to analyze support ticket data and user feedback. They ask 'Show common issues reported' to identify patterns, improve service quality, and reduce response times, enhancing customer retention and satisfaction.
An operations manager integrates Basedash with warehouse data to optimize logistics. Queries like 'Track inventory levels' provide real-time insights that streamline supply chain processes, reduce costs, and improve operational efficiency.
Basedash 's Pricing
Basic
$250/mo
Includes 2 members, basic data sources, and unlimited AI usage for generating dashboards and reports.
Growth
$1k/mo
Unlimited members, access to all data sources, Slackbot integration, and advanced features for scaling teams.
Enterprise
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Custom solutions with self-hosting options, SLA guarantees, and dedicated support for large organizations.
