How does data masking and anonymization impact data analytics and business intelligence?
- It enhances data security by obfuscating sensitive information, ensuring compliance and protecting privacy.
- It improves data accessibility by organizing data into structured formats, facilitating easier analysis.
- It increases data accuracy by removing irrelevant data, leading to more precise analytics and decision-making.
- It reduces data storage costs by compressing data, allowing for efficient storage and retrieval.
Data masking and anonymization impact data analytics and business intelligence positively by enhancing security, ensuring compliance, and protecting privacy. These techniques help in maintaining data accuracy and reducing storage costs, ultimately improving decision-making.
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