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Data preparation simplified with AI
Derive data wrangling formulas in seconds, bring in third party data for enrichment, and more. With Zia, and powered by ChatGPT API, Data Preparation gets even more easier - use natural language prompts to get your data management on auto drive.Sign up for free
Transform by example
Transform by example easily helps you transform the data in any column to your needs just by providing examples of the output. This can transform text, date or numerical data by performing complex text extractions, date formatting and arithmetic operations behind the scenes.Learn more
Chat formula builder
Simplify formula creation by narrating the logic in natural language. Derive formula columns quickly without the hassles of learning all of the available functions or their syntax. Cut down the time to prepare data and use that time effectively for analysis and other downstream processes.Learn more
Discover relevant public datasets and generate sample data by simply asking for it. Dataset finder enables you to generate datasets based on your data needs. Blend created datasets with first party data during data preparation process. Use synthetic data for data analysis or for experimentation.Learn more
Powered by generative AI for Zoho DataPrep, you can
- Derive complex string manipulation formulas in a matter of seconds
- Arrive at data transformation recipes using natural language queries
- Remove complexities surrounding data preparation processes
- Improve accuracy of overall data preparation process
Data engineering for everyone
Data Preparation using natural language prompts makes it accessible to everyone, from managers to business owners. No code required.
AI-based data transformation comes up with intelligent suggestions that can save up time for analysts for downstream processes like analytics.
Augment first party data with external data to enrich the data and draw key insights. Use synthetic data built with by Open AI to run experiments and build models.
Refine and reuse rules
Use transformation suggestions and formulas to improve data quality consistently. Reuse the rule sets and set your business on a data-forward trajectory.