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Welcome to SynTera Test Suite - Statistical Validation Framework
SynTera Test Suite
Advanced Statistical Validation Framework for Synthetic Data
What is SynTera?
SynTera Test Suite is a comprehensive statistical validation framework designed to evaluate and compare synthetic survey data against real-world datasets. It provides rigorous statistical analysis to ensure synthetic data maintains the statistical properties and distributions of original data.
Scientific Approach
Based on proven statistical methodologies
Fast & Efficient
Real-time validation and comparison
Comprehensive Analysis
Multiple statistical tests in one platform
Purpose
SynTera Test Suite serves as a critical validation tool for organizations working with synthetic data, ensuring data quality, statistical accuracy, and reliability before deployment in production environments.
Data Quality Assurance
Validate that synthetic data maintains statistical properties of original datasets
Risk Mitigation
Identify discrepancies before deploying synthetic data in production
Compliance & Standards
Ensure synthetic data meets regulatory and industry standards
Research & Development
Support research initiatives requiring validated synthetic datasets
How to Use
Getting started with SynTera Test Suite is simple and straightforward. Follow these steps to begin validating your synthetic data:
Upload Your Data
Navigate to Validation Runs and upload your seed (real) and synthetic data files in CSV or Excel format
Select Extraction Method
Choose your preferred extraction method (JSON, CSV, or Excel) for data processing
Run Comparison
Click Compare Files to initiate statistical analysis across 8 different tests
Review Results
View detailed question-by-question comparisons and statistical methodology in Test Results
Access Reports
Explore comprehensive reports in Dashboard & Reports with accuracy metrics and validation summaries
Key Benefits
SynTera Test Suite provides numerous advantages for organizations working with synthetic data:
High Accuracy
Achieve 97.8% accuracy in statistical validation, ensuring reliable synthetic data generation
Comprehensive Testing
8 different statistical tests including Chi-square, Kolmogorov-Smirnov, Mann-Whitney U, and more
Real-time Analysis
Get instant results with question-by-question comparison and detailed statistical insights
Visual Dashboards
Interactive dashboards with pagination, 2x2 grid layouts, and comprehensive reporting
Role-Based Access
Secure access control with User and Super User roles for different permission levels
Industry Standards
Access to industry survey references and validation reports across multiple domains
Dashboard & Reports
Metrics, statistics, and validation reports for all completed surveys.
Total Surveys
0
Validated
0
Avg Accuracy
0%
Validation Reports
Surveys
Each survey represents one experiment run.
Validation Runs
Compare two questionnaires via file upload or manual data entry.
1. Upload questionnaire files
Upload Excel (.xlsx, .xls) or CSV files containing survey responses.
2. Ready to compare
Click "Compare Files" to run the validation. Results will appear on the Test Results page.
1. Select survey & data
2. Ready to validate
Click "Run Validation" to start. Results will appear on the Test Results page.
Test Results
Compare synthetic vs real survey responses question-by-question.
No Results Yet
Run a validation from the Validation Runs page to see results here.
Industry Survey Reports
Industry-specific surveys and data from S3, plus reference surveys across domains.
Industry data (S3)
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Reference surveys
Market Research Reverse Engineering
Upload a market research report to reverse-engineer the original research design and reconstructed questionnaire.
Input Report
Paste report text below or upload a .txt or .pdf file. Minimum 50 characters required.
Only text is read from the report; charts and images are not.