Spartera's AI tool to create and test assets
AutoInsights
Transform your database into valuable analytics assets automatically with
AI-powered insights generation.
AutoInsights analyzes your database structure and creates meaningful,
sellable analytics assets for the Spartera marketplace - all powered by
advanced artificial intelligence.
How AutoInsights Works
AI Analysis Process
AutoInsights uses advanced AI to understand your data and create valuable
insights:
- Schema Analysis - Analyzes your database schema and structures to
understand data relationships and patterns - Intelligent Processing - Generates meaningful insights using AI
algorithms trained on analytics best practices - Asset Creation - Creates sellable assets optimized for the Spartera
marketplace with proper documentation and metadata - Quality Validation - Validates quality and accuracy of generated
assets before publishing
Getting Started
Simple 4-Step Process
Step 1: Configure Your Preferences
Set up your data connection and specify your preferences for asset generation.
Choose which tables to analyze and set pricing preferences.
Step 2: Review FREE Analysis
Get a comprehensive analysis of your database structure at no cost. Review
the AI's understanding of your data before proceeding.
Step 3: AI Creates Your Assets
Let our AI automatically generate multiple analytics assets from your data.
Each asset is optimized for marketplace success with proper descriptions
and pricing suggestions.
Step 4: Review, Test & Publish
Review generated assets, test their functionality, and publish profitable
insights to the Spartera marketplace.
Data Preparation
Tips for Better Results
To increase the quality of AI-generated insights, follow these best practices:
Use Descriptive Naming
- Use descriptive column names (e.g., "transaction_date" instead of
"column45") - Name tables with clear, business-relevant names
- Follow consistent naming conventions across your schema
Include Documentation
- Include data documentation and comments in your database
- Add table and column descriptions where possible
- Document business logic and calculations
Maintain Data Quality
- Ensure consistent data formatting and structure
- Remove or clean up test/placeholder data
- Handle null values appropriately
- Maintain referential integrity between tables
Optimize Structure
- Organize related data into logical table groupings
- Use appropriate data types for each column
- Create proper indexes for performance
- Normalize data where appropriate
Supported Data Sources
AutoInsights works with all Spartera-supported database platforms:
Amazon Web Services (AWS)
- Amazon Redshift - Large-scale data warehousing
- Amazon Redshift Serverless - Serverless data warehousing
- Amazon Aurora (MySQL) - High-performance MySQL-compatible database
- Amazon Aurora (PostgreSQL) - High-performance PostgreSQL-compatible
database - Amazon Aurora Serverless - On-demand relational database
- Amazon RDS MySQL - Managed MySQL database service
Google Cloud Platform (GCP)
- Google BigQuery - Serverless analytics and data warehouse
- Cloud SQL MySQL - Fully managed MySQL database
- Cloud SQL PostgreSQL - Fully managed PostgreSQL database
Multi-Cloud Platforms
- Snowflake - Cloud-native data platform
- Teradata Vantage - Enterprise analytics platform
Database Platforms
- Microsoft SQL Server - Enterprise database systems
- Supabase PostgreSQL - Modern application databases
- Supabase Analytics - Application analytics and event tracking
Asset Types Generated
Analytics Categories
AutoInsights automatically identifies and creates various types of analytics
assets:
Behavioral Analytics
- Customer segmentation insights
- User journey analysis
- Engagement pattern recognition
Financial Analytics
- Revenue trend analysis
- Cost optimization insights
- Profitability breakdowns
Operational Analytics
- Performance metrics
- Efficiency measurements
- Resource utilization insights
Predictive Analytics
- Trend forecasting
- Risk assessment models
- Growth projection analysis
Quality Assurance
Built-in Validation
Every asset generated by AutoInsights undergoes comprehensive quality checks:
- Data Accuracy - Validates calculations and aggregations
- Performance Testing - Ensures queries execute efficiently
- Market Readiness - Confirms assets meet marketplace standards
- Documentation Review - Verifies clear descriptions and usage
instructions
Pricing & Monetization
Revenue Optimization
AutoInsights helps maximize your asset revenue:
- Smart Pricing - AI suggests optimal pricing based on market analysis
- Competitive Analysis - Compares similar assets in the marketplace
- Value Assessment - Calculates asset value based on data uniqueness
- Revenue Tracking - Monitors performance and suggests improvements
Security & Privacy
Enterprise-Grade Protection
Your data remains secure throughout the AutoInsights process:
- Local Processing - Analysis happens where your data lives
- Zero Data Movement - Insights are generated without moving raw data
- Encryption - End-to-end encryption for all communications
- Access Control - Granular permissions and audit trails
Getting Support
Help & Resources
- Documentation - Comprehensive guides and tutorials
- Community - Connect with other AutoInsights users
- Support Team - Technical assistance and best practice guidance
- Training - Webinars and workshops for advanced techniques
Contact Information
- Email: [email protected]
- Community: community.spartera.com
- Discord: Join our Discord
Next Steps
Ready to start generating valuable insights from your data?
For New Users
- Sign up for Spartera
- Connect your first data source
- Run your first AutoInsights analysis
For Existing Users
- Navigate to AutoInsights in your dashboard
- Select databases to analyze
- Configure your generation preferences
