Features Integrations
Data Sources & Integrations
Connect your data to enhance AI capabilities
Navigator becomes more powerful when connected to your data. Integrations allow AI to access real-time information, analyze your business data, and provide contextual insights.
Types of Data Sources
Predefined Data Sources
Ready-to-use data feeds curated by Navigator:
- Market Intelligence: Real-time market trends, consumer behavior
- Customer Analytics: Customer profiles, segmentation, lifetime value
- Competitive Intelligence: Competitor tracking, market positioning
- Financial Markets: Stock prices, earnings, economic indicators
- Industry Research: Reports, forecasts, analyst insights
- Supply Chain Data: Logistics, inventory, supplier metrics
SaaS Integrations
Connect your existing business tools:
- CRM: Salesforce, HubSpot
- Analytics: Google Analytics, Mixpanel
- E-commerce: Shopify, WooCommerce
- Payments: Stripe, Square
- Communication: Slack, Microsoft Teams
- Development: GitHub, Jira
- Calendar: Google Calendar, Calendly
Custom Connections
Build your own integrations:
- Databases: PostgreSQL, MySQL, MongoDB
- APIs: REST endpoints, GraphQL
- Webhooks: Real-time data streams
- Cloud Storage: AWS S3, Google Drive
- File Uploads: CSV, JSON, Excel
How Integrations Enhance AI
1. Contextual Responses
AI can reference your actual data:
You: "What were our top selling products last month?"
AI: "Based on your Shopify data, the top 3 products were..."2. Real-time Analysis
Get insights from live data:
You: "Show me customer churn trends"
AI: "Analyzing your Salesforce data, churn rate increased 15% this quarter..."3. Predictive Insights
Combine multiple sources for forecasting:
You: "Predict Q4 revenue based on current pipeline"
AI: "Combining Salesforce pipeline and historical data, Q4 projection is..."Setting Up Integrations
Step 1: Access Integrations
- Click "Integrations" in the sidebar
- Browse available connections
- Filter by category or search
Step 2: Connect a Data Source
For Predefined Sources:
- Click on the data source
- Review included data
- Click "Connect"
- Choose projects to share with
For SaaS Integrations:
- Select the integration
- Click "Connect"
- Enter credentials:
- API keys
- OAuth authentication
- Connection URLs
- Test connection
- Save configuration
For Custom Connections:
- Choose connection type
- Provide connection details:
- Database: Host, port, credentials
- API: Endpoint, authentication
- Webhook: Callback URL
- Configure sync settings
- Map data fields
Step 3: Manage Access
Control where data is available:
- Organization-wide: All teams can access
- Team-specific: Limited to certain teams
- Project-specific: Only in selected projects
Integration Features
Automatic Sync
- Real-time updates for live data
- Scheduled syncs for batch data
- Manual refresh options
Security
- Encrypted credentials
- Row-level security
- Audit logs
- Compliance certifications
Data Preview
- See sample data before connecting
- Verify field mappings
- Test queries
Smart Suggestions
- AI recommends relevant integrations
- Based on your industry and use cases
- Discovers data relationships
Popular Integration Recipes
Sales Team Setup
Salesforce (CRM) +
Google Analytics (Web) +
Market Trends (Intelligence) =
Complete sales insightsE-commerce Analytics
Shopify (Store) +
Stripe (Payments) +
Customer Analytics (Profiles) =
360° business viewDevelopment Workflow
GitHub (Code) +
Jira (Tasks) +
Slack (Communication) =
Integrated dev environmentBest Practices
1. Start Small
- Connect one or two key sources first
- Expand as you see value
- Test with non-critical data
2. Organize by Project
- Group related data sources
- Keep sensitive data separate
- Use clear naming conventions
3. Monitor Usage
- Check sync status regularly
- Review data freshness
- Track query performance
4. Security First
- Use read-only credentials when possible
- Rotate API keys regularly
- Limit access appropriately
Troubleshooting
Connection Issues
- Verify credentials are correct
- Check network/firewall settings
- Ensure API limits aren't exceeded
Sync Problems
- Review error logs
- Check data formatting
- Verify field mappings
Performance
- Optimize query patterns
- Use appropriate sync frequencies
- Index key fields