Clean duplicate and inaccurate data with Zoho DataPrep
Bad data is the root cause of ineffective decision-making and marketing campaigns. If you’re someone who spends hours fixing data manually, then Zoho DataPrep’s data cleaning features can help.
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Why use Zoho DataPrep to maintain your data hygiene?
AI-assisted data cleanup and enrichment
Duplicated and inconsistent data, missing information, incorrect formatting, and even language mismatches—Zoho DataPrep helps you discover and fix them all in just a few clicks. Our OpenAI integration enables you to run complex fixes in plain English.
Interactive data studio to help clean data faster
Our data studio is designed to help reduce the use of formulas and coding. Features like smart selection and the 250+ built-in transforms make data cleaning effortless. Simply import data and let the data studio fix 70% of it.
Remove work redundancy
According to Forbes, almost 60% of data scientists’ time is spent on repetitive data cleaning tasks. Reduce the time you spend on repetitive tasks by creating templates that you can easily reuse for similar datasets.
Automate data cleaning with schedules
The Schedules feature can fetch data from any connected source and run it through data cleansing templates to clean your data automatically. Always have data that’s clean and ready to go for faster analysis and reporting.
Get more out of your data
DataPrep’s unique features—like sentiment analysis and keyword extraction—help you analyze customer reviews and survey feedback efficiently. Reduce data analysis time by easily consolidating long text content.
Monitor data quality 24/7
DataPrep’s robust solution is built to constantly monitor the data that flows through it. Anytime there’s an issue with the quality of your data, you get instant alerts so you can take immediate action.
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"Zoho DataPrep is a great tool for cleaning up data prior to importing it into Zoho Products. It helped reduce the time we spent migrating CRM data and third party Analytics data by 75 to 80%. It also significantly increased the number of rows that we were able to import and the accuracy of the data we were importing."
Dave Staffuer
node9, llc