Transform Your Chaotic Data into Intelligent Data Models
Turn complex structured and unstructured data into clear, organized Kimball-style data models with Inzata DataBlueprint's AI-powered dimensional modeling tool. Our intelligent system automatically identifies fact tables, dimensions, and relationships to create optimized data warehouses. Experience the power of automated dimensional modeling. ✨
Skip the complexity. Skip data-model theory.
With Blueprint.ai, just point to your raw data, click "Build My Semantic Model", and get a ready-to-use semantic model in seconds.
Three simple steps to transform your data experience:
1. Point at raw data
Connect any source with minimal configuration
2. Click "Build my Semantic Model"
Our AI handles the complex modeling for you
3. Start creating insights
Your semantic model is ready for dashboards and analysis
No manual joins. No guesswork. Just clean, fast, explainable models — built for analysis, dashboards, or AI pipelines.
Why To Choose Inzata DataBlueprint
Instant Setup
Connect your data sources and start getting insights in minutes, not weeks.
AI-Powered Analysis
Our AI automatically understands your data structure and relationships.
Trustworthy and traceable
Reliable data builds confidence and drives informed business decisions, saving time and resources while enhancing brand reputation.
Works With Your Stack
See How It Works
AI Use-Case Generator
Upload your data and let AI suggest business use-cases
Based on your data, here are potential use-cases:
AI-Powered Model Generation
Automatically generate optimized Kimball-style data models
AI-Generated Data Model
Our AI analyzes your data structure to create optimized models, ensuring efficient queries and accurate insights for your specific use cases.
Generated SQL
Instantly get production-ready SQL for your data warehouse
CREATE TABLE dim_customer (
customer_key INT PRIMARY KEY,
customer_id VARCHAR(50),
email VARCHAR(100),
first_name VARCHAR(50),
last_name VARCHAR(50),
created_date DATE
);
CREATE TABLE fact_orders (
order_key INT PRIMARY KEY,
customer_key INT,
order_date DATE,
total_amount DECIMAL(10,2),
FOREIGN KEY (customer_key)
REFERENCES dim_customer(customer_key)
);Enhanced Integration with Your BI Tools
Seamlessly connect your generated models with industry-leading visualization tools
Power BI Ready
Optimized star schema models that seamlessly integrate with Power BI:
- Direct import of generated models
- Automatic relationship mapping
- Optimized for DAX calculations
- Ready-to-use date dimensions
Tableau Enhanced
Purpose-built data models for Tableau analytics:
- Optimized for Tableau Relationships
- Enhanced performance with proper indexing
- Compatible with Tableau Prep Builder
- Pre-configured join patterns
Traditional vs AI-Powered Approach
See how Inzata DataBlueprint transforms the logical model creation process
Traditional Approach
10-16 weeks on average
Requirements Gathering
Extensive stakeholder interviews and business process analysis
Data Source Analysis
Manual review and documentation of data sources and structures
Entity Mapping
Identification of entities and their relationships
Model Design
Attribute definition and normalization decisions
Documentation & Review
Comprehensive documentation and stakeholder review cycles
AI-Powered Approach
Minutes to hours (98% time saved)
Connect Data Source
Simple drag-and-drop or URL connection
AI Analysis
Automated schema analysis and pattern detection
Model Generation
Instant creation of optimized data model
Intelligent Automation
AI automatically identifies relationships and optimizes model structure
Real-time Updates
Models adapt automatically as your data evolves
Built-in Best Practices
Enforces data modeling standards and optimizations automatically
Ready to Understand Your Data?
Start your free trial today. No credit card required.
Stay Updated
Get the latest updates about new features and AI capabilities.