In the digital age where data is growing exponentially and becoming the new oil – protecting sensitive information has become more crucial than ever. Data protection refers to a set of policies additional hints and procedures that are designed to safeguard against data corruption or loss. This ensures data integrity and availability of the data.
The following are the basic principles of data protection:
1. Data availability – Ensuring that data is always accessible to users, regardless of whether they are stored online or offline. This includes methods of accessing storage, managing, and accessing data based on its context and sensitivity, making it always accessible for reporting, analytics development, testing, and other purposes.
2. Data management – ensuring that the data is handled in accordance with the requirements of regulatory and business. This includes preventing data access by unauthorised persons through policies like role-based data access control and encryption that ensure that only authorized parties have access to data. Additionally, it is important to limit access to data via tools like usage logging and file classification which allow companies to keep track of who is using the documents and how they are being used.
3. Data privacy – Ensuring personal data are processed in a legal, fair, and transparent manner, and ensuring the data subjects are clearly informed about the use of their personal data. It also includes limiting collection of personal data to what is strictly necessary for the purpose it was intended and avoiding unnecessary processing.
The process of organizing data protection can be a complex process however, with the right system and proper execution, it can be made easy and efficient. The first step in creating an effective organization system is identifying the goals you want to achieve like ensuring GDPR compliance and protecting personal data. From there the system can be planned and implemented using software tools that can streamline the process.
