Ingest fragmented CSV and XLSX files without worrying about formatting nightmares or encoding issues.
Intelligent auto-detection suggests the best matches for your target schema, saving hours of manual work.
Apply custom logic and regex-based rules to ensure every cell meets enterprise-grade quality standards.
Export high-impact dashboards, professional reports, and validated packages ready for delivery.
The tools you need to transition from data wrangler to data architect.
AI-assisted detection of column headers across heterogeneous data sources.
Low-code engine to define cross-field validations and data transformations.
Automated removal of duplicates, normalization of formats, and whitespace trimming.
Collaborative workspace to flag, discuss, and fix anomalies in real-time.
Mandatory verification checks before any data can be exported or committed.
Visualize data distribution and error rates with live telemetry.
Generate client-ready PDF summaries of data health and transformation steps.
Bundle validated datasets with metadata and documentation in one click.
Full lineage tracking for every change made during the cleaning process.
Step-by-step industrial data manufacturing.
Configure connections and map schemas in a high-density professional environment.
Monitor data health, validation pass rates, and pipeline performance metrics.
Generate final deliverables with embedded documentation and lineage graphs.
Create an account or use the demo login to explore the workflow in your browser
Questions about enterprise deployments or custom rules?
Everything you need to know to get started.
We support CSV and XLSX as standard input.
DataReady Studio uses a logic-engine to apply conditional transformations, regex-based validation, and schema mapping to ensure your datasets are production-ready.
For the public demo, use sample or non-sensitive data.
Final cleaned data, reports, metadata, audit records, and delivery-ready export files where available.