Supr Analyst is an AI-powered tool that integrates with Slack to answer data-related questions. It helps generate, optimize, and execute SQL queries quickly, allowing for real-time data insights and collaboration. The platform offers a chat interface for natural interactions and seamless integration with databases and warehouses.
Features
Slack Integration
Provides real-time data insights directly within Slack, allowing users to make data-driven decisions faster and reduce analysis time.
AI Playground
Allows users to generate, correct, optimize, and execute SQL queries with AI assistance, helping to improve query efficiency and correctness.
Chat Interface
Facilitates real-time conversations with data, using AI to understand context and provide relevant answers.
Unlimited Projects
Allows users to create an unlimited number of projects without any restrictions.
Database Connectivity
Enables users to connect directly to their databases for seamless data integration.
Daily Credits (Claude Sonnet 3.5 Class)
Offers 20 daily credits for queries using the Claude Sonnet 3.5 Class, allowing advanced query capabilities.
Daily Credits (GPT-4o Mini Class)
Provides 100 daily credits to utilize the GPT-4o Mini Class for various data processing tasks.
Chat Questions
Allows users to ask approximately 10 chat-based questions for quick data insights.
SQL Playground Questions
Grants approximately 120 questions within the SQL playground to experiment with SQL queries and data analysis.
AI-Powered Context Generation (Small Model)
Utilizes a small AI model to generate context-driven insights and enhance data interpretation.
Database Connection
Allows you to create an organization and connect your database to Supr Analyst. Supports both PostgreSQL and MySQL, with Snowflake support coming soon.
Data Entities Sync
Enables syncing data entities from your connected database, fetching all table schemas to create data entities within the platform.
Charter Creation
Facilitates the creation of charters, which are sub-sections of data entities for various domains. Helps in organizing data for analysis.
Contextual Understanding
Integrates AI for adding context to charters, improving data understanding and query accuracy.
Natural Language Chat
Provides the capability to chat with your data in natural language, allowing intuitive data queries and interactions.
SQL Playground
Offers a SQL playground to perform queries directly within the platform, enabling advanced data manipulation and exploration.
Chat-Based Queries
Allows users to ask questions in a chat interface and receive data-driven answers related to Human Resources (HR). Users can explore metrics like department turnover rates and average employee tenure.
Complex Query Creation
Users can create complex queries related to HR data to gain insights into things like gender pay gaps, employee age distributions, and salary growth rates.
Data Entity Selection
Users can choose from a variety of data entities such as department, employee, and shift to tailor their queries and data analysis.
Metric-Based Analysis
Features metrics like Compensation Level Distribution and Recruitment Success Rate to analyze different aspects of HR data.
SQL Query Execution
Allows you to execute SQL queries instantly and view results directly on the interface, making it easy to analyze and manipulate data.
AI-Assisted Query Generation
Enables the creation of complex SQL queries in minutes using AI chat assistance, simplifying the process of querying without deep technical knowledge.
Addition of Data Entities and Metrics
Provides the capability to add data entities and metrics for enhanced AI context, helping in building more accurate queries.
AI Chat Integration
Integrates with chat for generating and correcting queries. This feature is designed to make real-time editing and collaboration easier as you work on SQL queries.
Super Fast Insights
Provides immediate data access to help teams make quicker, data-driven decisions.
Ask Questions in English
Allows users to ask data-related questions in natural English language for easier interaction.
Slack Integration
Integrates with Slack to enable seamless communication and data sharing within teams.
Multiple Databases
Supports integration with multiple databases, including PostgreSQL, MySQL, and Snowflake, for comprehensive data analysis.
Database Integration
Offers integration with major database systems like PostgreSQL, MySQL, and Snowflake using secure connection protocols for schema integration.
Platform Usage Monitoring (Anonymized)
Monitors usage analytics anonymously to enhance platform functionality and improve user experience by analyzing how different features are used.
AI Data Processing
Utilizes AI for query generation and optimization to help users create effective insights while maintaining data privacy.