How to Organize Data Protection

In the digital age where data is growing exponentially and is becoming the new oil – protecting sensitive data has become more important than ever before. Data protection is a set policies and procedures that are designed to protect against data loss or corruption. This ensures data integrity and availability.

The following are the most fundamental principles of data protection:

1. Data availability – ensuring that data is available to users at all times, whether it is stored online or offline. This includes methods of accessing data, storing, and managing data based on its context and sensitivity making it always available for analytics, reporting development, testing, and other purposes.

2. Data management – Ensuring that data is handled in a way that meets the requirements of both regulatory and business. This includes preventing data access by unauthorised persons by means of policies such as role-based control of access to data and encryption that ensure that only authorized persons have access to data. It also involves limiting access to data using tools like classification of files, usage logs and other tools that allow organizations track who uses what documents and how.

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 information. It also means the processing and collection of personal data to that which is strictly required for the purpose it was intended to serve.

Data protection is a complex process however, with the right system and execution it can be made simple and effective. To establish a system of organization, it’s essential to establish specific goals, such as compliance with GDPR and personal data security. Software tools that help streamline workflows can assist in planning and implement a system.

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