Information processed by Datasense software can include data elements that could potentially identify an individual. This may involve names, addresses, social security numbers, email addresses, or other data points which, when combined, could be used to distinguish or trace an individual’s identity. For example, a patient’s medical record within a healthcare system analyzed by Datasense might contain such elements, as would customer profiles in a retail analytics scenario.
Proper handling of this category of information is crucial to uphold privacy regulations such as GDPR, CCPA, and HIPAA. The responsible processing and safeguarding of this information builds trust with users and customers, and minimizes legal and reputational risks. Historically, organizations have struggled to effectively manage such sensitive data at scale, leading to increased regulatory scrutiny and a growing need for specialized data governance tools.
