Start analyzing your data in three steps
Step 1: Collecting Data
Connect all of your important data sources like your PostgreSQL database, your CRM (HubSpot, Salesforce, etc), and your financial data like Stripe and QuickBooks.
- Connect to 500+ data sources
- Simple no-code connections use OAuth flows and API keys
- Once connected, data automatically loads into the Definite Warehouse.
Step 2: Running Analytics
Once your data loads, start running analytics with SQL, drag-and-drop charts, or with our AI data assistant, Fi.
- Ask Fi natural language questions about your data
- Fi intelligently identifies relevant tables and constructs queries
Step 3: Data Visualization and Analysis
Create composable, interconnected blocks to the Definite canvas for consistent analyses.
- Manipulate data by sorting, filtering, and adjusting granularity (e.g., switching from monthly to yearly view).
- Changes in filters apply across all blocks in the canvas.
Step 4: Sharing Insights
Once you have the data you want to share, you can generate a static dashboard.
- The canvas allows users to iterate on analysis in a flexible workspace.
- Dashboards provide a static view for sharing insights with teams.
- Users can export results as CSVs or Excel files or get real-time alerts.
It's that easy
Now you can go from zero to a complete data platform in just a few minutes.
- Definite integrates ETL, data warehousing, and business intelligence in one seamless platform.
- No need for multiple products or complicated setups.
- For questions, reach out to Mike at mike@definite.app.