AI Data Studio | KI group
de KI group GmbH
AI-powered CSV analysis for data quality, synthetic data generation, and anomaly detection
AI Data Studio helps teams quickly understand, validate, and test their data. Upload a CSV file and automatically analyze data quality, discover validation rules, generate realistic synthetic data, and identify unusual records.
Key Features
• Data profiling — Understand your dataset with statistics, missing values, unique values, distributions, and column summaries.
• Automatic rule discovery — Detect common data patterns, ranges, categories, dates, and formats. AI can identify format patterns such as IDs, codes, and structured text fields.
• Relationship analysis — Explore connections between columns and identify meaningful correlations across your dataset.
• Synthetic data generation — Create realistic test datasets that preserve the structure and characteristics of the original data while protecting sensitive information.
• Anomaly detection — Identify invalid values, unexpected categories, format violations, and statistical outliers with clear severity levels.
• Code generation — Export ready-to-use PySpark code for data generation and anomaly detection workflows.
Requirements
• Azure OpenAI resource with a deployed chat model.
• Azure subscription for deployment and infrastructure resources.
Ideal For
• Data engineering teams testing pipelines with realistic sample data.
• Data quality teams monitoring and validating datasets.
• Analytics teams that need representative data without exposing production records.