Uncover Data Utility with Data Validation
Howso’s data validation tests compare the synthetic data’s statistics and distributions to the original data and evaluate how well the synthetic data will perform as a drop-in replacement for the original data within modeling and data analytics use cases. This helps determine the proper utility for any given dataset.
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Determine Data Privacy
With Howso’s data validation solution, you can assess the levels of privacy within original data as well as synthetic data. Howso assesses data privacy using the Anonymity Preservation metric, which shows whether synthetic data is more different from the original data than the original data are from themselves. Additionally, you’ll be able to detect data watermarks that have been left behind which can help determine the provenance and lineage of the dataset.
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Benefits of Data Validation
Data validation is crucial for ensuring the accuracy and reliability of your data. By comparing synthetic data to the original data, you can uncover any discrepancies and make necessary adjustments to improve the quality of your data. This not only helps in making informed decisions but also enhances the overall performance of your modeling and analytics processes.
Moreover, data validation can also help in determining the level of privacy and security of your data. By assessing both original and synthetic data, you can identify any potential vulnerabilities and take appropriate measures to protect sensitive information. This proactive approach to data privacy can help in mitigating risks and maintaining compliance with data protection regulations.