AUTOMAT provides a complete, integrated ecosystem for data analytics—from raw data ingestion to interactive dashboards. Our platform serves multiple user personas with tailored experiences.
1. Start with Data
Upload Excel/CSV files via Pipeline Designer
Choose from pre-built templates (Sales Analysis, Inventory Tracking)
Click "Run" to process data in your browser
2. Create Your First Report
Open Report Designer from the sidebar
Select your processed data as source
Drag fields to build a simple table or chart
Save and share with team members
3. Build a Dashboard
Create a new dashboard from the Dashboard Designer
Add your report as a component
Include text blocks for context
Arrange layout for optimal storytelling
1. Set Up Data Infrastructure
Configure Inventory connections (BigQuery, S3, ClickHouse)
Define Catalog rules for data abstraction
Establish user permissions and visibility rules
2. Create Production Pipelines
Write YAML pipelines
Test with browser execution
Deploy to scheduled jobs
Monitor via administration console
3. Enable Self-Service
Publish curated catalog entries
Create report templates
Set up dashboard standards
Train business users
1. Platform Configuration
Set up users and roles
Configure system settings
Define security policies
Establish data governance rules
2. Monitor Operations
Review pipeline execution logs
Monitor system performance
Audit user activities
Manage schedules and jobs