BetterData
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About
BetterData provides a solution for generating synthetic data that enhances privacy and retains utility. It enables faster access to sensitive data, reducing bureaucratic hurdles in data compliance. By using synthetic data, organizations can eliminate privacy risks associated with handling sensitive information, ensuring compliance with data protection regulations. BetterData helps identify and mitigate biases in datasets, which can lead to more ethical AI models while protecting brand reputation. Their privacy-preserving data maintains the structure and relationships of original datasets, unlike traditional anonymization methods that often lead to loss of vital information. Key use cases include enhancing product development and testing with realistic data, facilitating data collaborations safely, performing privacy audits to preempt data re-identification, and improving machine learning performance through data augmentation. With BetterData, organizations can safeguard privacy while boosting innovation and operational efficiency within various industries.
Platform
Task
Features
• privacy-preserving synthetic data
• faster data access
• bias and imbalance mitigation
• data privacy audits
• enhanced machine learning performance
FAQs
What is synthetic data?
Synthetic data is artificially created data that mimics real data while preserving privacy.
How does BetterData ensure data privacy?
BetterData uses privacy-preserving techniques to create synthetic data that complies with data protection laws.
What industries can benefit from BetterData?
Industries like financial services, telecommunications, healthcare, and retail can benefit from BetterData.
Can I test BetterData without a commitment?
Yes, BetterData offers a free plan for testing its capabilities before making any commitments.
How does BetterData improve machine learning models?
BetterData enhances machine learning by providing balanced, rich datasets that improve model accuracy.
Pricing Plans
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