# Smartello Analytics — Vendor Intelligence Profile
> Source: Vedex (https://vedex.ai) | Generated: 2026-10-05T08:33:22.196Z

## Overview

- **Description**: Kosha.AI - Snowflake Assistant by Smartello Analytics
A comprehensive Snowflake Native Application built with Python and Streamlit that provides data management, documentation, governance, quality assurance, and analytics capabilities directly within your Snowflake environment.
🚀 Overview
Smartello Snowflake Assistant leverages Snowflake's compute, storage, and AI capabilities (Cortex) to deliver a complete suite of tools for modern data operations. The application runs entirely within your Snowflake account, ensuring maximum data security and minimal data movement.
✨ Key Features
Data Onboarding Management
- Register and track data solutions
Data Quality Assurance
- Comprehensive data validation and monitoring
Automated Documentation
- AI-powered code and data documentation
Governance & Optimization
- User access management and query optimization
Code Generation
- AI-assisted data pipeline creation
📦 Installation
Step 1: Install from Snowflake Marketplace
Navigate to Snowflake Marketplace
Search for "Smartello Snowflake Assistant"
Click "Install"
The application will be available in your Apps section for the entire organization
Step 2: Grant Database Access
Note
: Due to Snowflake marketplace restrictions, newly created tables will require explicit access grants.
🛠️ Core Modules
Data Onboarding Management
Add New Onboarding
Register new applications, reports, or data solutions:
Navigate to
Manage Onboarding
>
Add New Onboarding
Fill in Solution ID, Functional Area, Solution Name, Data Product Owner, and Data Steward
Optionally add accessing roles
Submit for registration
Configure Onboarding
Specify database objects and documentation settings:
Select your Solution ID
Configure Views, Procedures, and Functions
Set custom AI prompts for documentation generation
Define code quality rules
Approve Onboarding
Review and manage onboarding requests:
View all onboarded records
Set approval status (Approved/Rejected)
Add review comments
Data Quality (SmartDQ)
Available Quality Rules
Nullability Checks
- Validate non-null constraints
Minimum Threshold
- Check values below minimum limits
Maximum Threshold
- Check values above maximum limits
Range Validation
- Ensure values within specified ranges
Permitted Values
- Validate against allowed value lists
Reference Table Validation
- Cross-reference with lookup tables
Cross-Column Conditions
- Multi-column validation rules
DQ Dashboard
Monitor data quality metrics:
Records processed, warnings, and errors
7-day trend analysis
Detailed run history
Documentation & Productivity
AI-Generated Documentation
Automated view, procedure, and function documentation
Business purpose and technical detail generation
Manual editing and version control capabilities
Code Generation
Generate data pipeline starter code:
Support for multiple data sources (S3, SQL Server, etc.)
Various processing tools (PySpark, SQL Script)
Standard features (logging, error handling)
Flow diagram upload capability
Governance & Optimization
User & Role Governance
Interactive permission tree visualization
User, role, and object-based access analysis
Comprehensive permission auditing
Warehouse & Query Optimization
30-day credit usage monitoring
Slowest query identification (last 7 days)
AI-powered query optimization suggestions
🔧 Configuration
Application Settings
Access admin-level settings via
Manage App
section (typically for administrators).
Help & Support
Access built-in help documentation through the
Help
section within the application.
🚨 Important Notes
All AI-generated content should be thoroughly reviewed before implementation
New database objects require explicit permission grants
Semantic models must be deployed by administrators before use in Chat with Data
The application operates entirely within your Snowflake environment for maximum security
🤝 Best Practices
Data Quality
: Implement DQ rules incrementally and monitor dashboard regularly
Documentation
: Use specific prompts for better AI-generated documentation
Governance
: Regularly audit user permissions and access patterns
Performance
: Monitor warehouse costs and optimize slow-running queries
Security
: Follow principle of least privilege when granting database access
📈 Benefits
Enhanced Data Quality
- Proactive data validation and monitoring
Improved Productivity
- Automated documentation and code generation
Better Governance
- Comprehensive access control and auditing
Cost Optimization
- Query performance monitoring and optimization
Self-Service Analytics
- Natural language data querying capabilities
🔒 Security
The application runs as a Snowflake Native App, ensuring:
Data never leaves your Snowflake environment
Granular permission control
Audit trail for all operations
Compliance with your existing Snowflake security policies
- **Domain**: smartelloanalytics.com
- **Contact Email**: hari@smartelloanalytics.com
- **Company Website**: https://smartelloanalytics.com

## Categories & Sectors

- **Categories**: Cost Optimization, Data Engineering, Data Quality and Cleansing, Security

## Marketplace Presence

- **Source Platforms**: snowflake_marketplace
- **Platform Count**: 1

## Intelligence Scores

- **Vendor Score**: 18.9
- **Market Presence**: 16.3
- **Integration**: 20
- **Business Maturity**: 3.2

## Links

- Vedex Profile: https://vedex.ai/vendor/smartello-analytics-dddd93
- Due Diligence: https://vedex.ai/due-diligence/smartello-analytics-dddd93