Data Privacy Frameworks
Identify critical business user stakeholders and align them with the data and processes they own. We define, document, and establish requirements, including responsibilities and business terms representing regulated data.
Our solutions address discovery, risk analysis, monitoring, and alerting for the broadest coverage of relational, big data, and cloud platforms. We utilize deep metadata management to provide the capability to discover, detect, protect, and monitor sensitive information at scale.
Identify critical business user stakeholders and align them with the data and processes they own. We define, document, and establish requirements, including responsibilities and business terms representing regulated data.
Operationalize the discovery and categorization of personal and sensitive data using machine learning and AI techniques. We enable data discovery and analysis to classify personal data, deidentify, archive, and disposition.
Communicate and collaborate with multiple stakeholders, with views for data privacy compliance and security status. Our interactive dashboards and provide drill-down capabilities to cross-functional business users for new insights and remediating gaps.
Data governance has become a critical component in implementing high-quality data solutions across enterprises. However, many organizations hesitate to invest in it due to perceived high costs and difficulties in measuring its return on investment. Our whitepaper introduces an approach to data governance that addresses these concerns.
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