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What is Data verification?

Data verification is the process of ensuring data accuracy, completeness, and consistency. It involves validating data against predefined standards, cross-checking sources, and detecting anomalies to maintain high-quality and reliable datasets for analytics and decision-making.

Personal data
Personal data refers to any information that can directly or indirectly identify an individual, such as names, email addresses, biometric data, and financial records. Privacy laws like GDPR and CCPA regulate how organizations collect, store, and process personal data to ensure security and user control.
Local differential privacy
Local differential privacy is a privacy-preserving technique that adds noise to individual data before it is shared or analyzed, ensuring anonymity without relying on centralized data aggregation. It is commonly used in privacy-focused analytics by companies like Apple and Google to collect user data while minimizing exposure risks.
Synthetic Data Generation
Synthetic Data Generation is the process of creating artificial data that mimics real-world data distributions. It is used to protect privacy, improve AI training datasets, and test machine learning models in scenarios where real data is scarce or sensitive.

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