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Data privacy examples

IBM Big Data Hub

A navigation app anonymizes activity data before analyzing it for travel trends. These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used.

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$10,000,000 civil penalty for disclosing personal data without consent

Data Protection Report

The claims related to the company’s sharing personal data without consumer consent and making it very difficult for consumers to cancel their subscriptions to this telehealth service. The complaint alleged that the company’s data handling practices also resulted in unauthorized disclosures of personal information.

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CHINA: uncertainties helpfully clarified on various key data compliance activities

DLA Piper Privacy Matters

The Draft Measures propose to introduce or flesh out other compliance requirements contained in the PIPL. This will, therefore, require more in-depth privacy notices than businesses may be used to providing in China. All these indicate that DPO should be a relatively senior position within an organization.

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China: Navigating China episode 16: New data lifecycle guidelines for financial institutions in China – detailed assessments, additional security measures and some data localisation introduced

DLA Piper Privacy Matters

This introduces a data lifecycle security framework, and represents the key guideline for handling personal and other financial information by financial institutions (i.e. Key compliance obligations include: Classification of financial data: the data lifecycle framework introduces five levels of financial data, namely: .

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How Machine Learning Can Accelerate and Improve the Accuracy of Sensitive Data Classification

Thales Cloud Protection & Licensing

In a recent study , IDC predicted the global datasphere will more than double in size from 2022 to 2026, and that 80% of that data will be unstructured. Traditional approaches to data classification use manual tagging which is labor-intensive, error-prone, and not easily scalable.

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How Data Governance Protects Sensitive Data

erwin

When an organization knows what data it has, it can define that data’s business purpose. And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? erwin Data Intelligence.

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Doing Well By Doing The Right Thing: How The CCPA Is Good For Businesses And Consumers

Reltio

How is it that many companies doing business in California are still not compliance-ready? Noncompliance could carry a hefty price tag. The "carrot" is that taking steps to ensure compliance can have very positive effects on businesses. Appoint someone on your staff to manage the compliance processes.

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