Loading content
Data Strategy and Data Governance refers to the development and implementation of strategies for effective data management within an organization.
This segment covers requirements and risks that must be considered when working with data. It includes regulatory constraints, privacy principles, classification of sensitive data, requirements for access and traceability, and risk assessment related to processing and sharing. The focus is on classifying and governing requirements, independent of specific organizational roles or technical tooling.
Review of adherence to regulations and standards.
Compliance management encompasses processes for adhering to legal regulations and internal standards.
Data classification refers to the systematic categorization of data to enhance its use, security, and management.
The data classification process is a structured approach to categorizing data based on its sensitivity and value.
The Data Protection Impact Assessment (DPIA) is an essential process for evaluating the impacts of data processing activities on individuals' privacy.
A method for assessing privacy impacts.
A structured method for identifying and assessing potential threats and vulnerabilities in a system.
Access control involves security mechanisms to regulate and monitor access to systems and data.
Auditability refers to the ability to make processes and decisions within systems transparent and traceable.
Protection of personal and sensitive data through organizational, technical and legal measures.
Data retention refers to the strategies and measures for archiving data.
Data sovereignty refers to the control over data with respect to its storage, access, and use.
A concept that integrates privacy into the development process.
Risk management involves identifying, analyzing, and responding to risks in a project or organization.
OneTrust is a platform for managing privacy compliance and risk management.
An open-source tool for managing permissions and policies across various applications.