20 Juil How to Organize Data Protection
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In the age of technology where data is growing at a rapid rate and is fast becoming the new oil, safeguarding sensitive information becomes more critical than ever. The practice of data protection involves a set of policies and procedures that are designed to avoid the loss or corruption of data by ensuring the integrity and accessibility of data.
The following are the main principles of data protection:
1. Data availability – ensuring that data is available to users at all times, regardless of whether it is stored online or offline. This includes methods of accessing, storing, and managing data according to its context and sensitivity so it is always readily accessible for reporting, analytics testing, development, and even testing.
2. Data management – Ensuring that data is managed in a way that meets business and regulatory requirements. This involves preventing unauthorised access to data through policies like role-based control of access to data and encryption to ensure that only authorized parties have access to data. Also, it is important to limit access to data using tools such as classification of files, usage logs and other tools that let organizations to track who accesses which documents and how.
3. Data privacy – ensuring that personal data is processed legally effectively, fairly, and in a transparent manner and in a clear manner, with clear disclosure to the data subjects regarding the manner in which their data will be used. This also means limiting the collection of personal information to the minimum amount required for the intended purpose, and avoid unnecessary processing.
Data protection is a complex process, but with the right system and execution, it can be made simple and effective. To create an effective system of organization, it’s important to identify specific goals such as compliance with GDPR or personal data security. Software tools that can streamline workflow can help you plan and implement an organization.