How to Connect Your SaaS Data to an AI Intelligence Layer
A step-by-step guide to connecting your SaaS business data sources to an AI intelligence layer for automated insights.
Before You Begin
Before connecting your data, you'll need:
Step 1: Identify Your Core Data Sources
Most SaaS businesses have data in these categories:
Revenue Data
Product Data
Customer Data
Marketing Data
Step 2: Prioritize Connections
Start with the data sources that contain your most important metrics:
For early-stage SaaS:
1. Payment processor (Stripe/Paddle)
2. Analytics (Mixpanel/Amplitude)
3. CRM (if you have one)
For growth-stage SaaS:
1. Payment processor
2. CRM
3. Marketing platforms
4. Product analytics
Step 3: Connect Your Data
Most integrations are one-click OAuth connections:
1. Select the integration from the dashboard
2. Click "Connect"
3. Authorize access in the popup
4. Select which data to sync
Tips for Smooth Connections
Step 4: Configure Your Metrics
Once connected, configure which metrics you want to track:
Revenue Metrics
Product Metrics
Customer Metrics
Step 5: Set Up Alerts
Configure alerts for significant changes:
Step 6: Configure Reports
Set up automated reports:
Troubleshooting Common Issues
"No data showing"
"Metrics look wrong"
"Integration disconnected"
Next Steps
Once your data is connected:
1. **Review initial insights** - Check the automatic analysis of your data
2. **Ask questions** - Use natural language to explore your data
3. **Share with your team** - Invite team members and configure their preferences
4. **Iterate** - Add more data sources as needed
Your AI intelligence layer will get smarter over time as it learns the patterns in your business.