Data is crucial to the success of every organization. Data is only able to deliver reliable and accurate results when it’s reliable. Businesses run the risk of making costly mistakes as well as wasting money, time, and resources in the absence of reliable data. Data that is reliable is the basis for fostering confidence within an organization and that’s one of the main objectives of implementing a data integrity initiative. In this article, you’ll find everything you need to know about the reliability of data protection. We’ll outline what it is, how to control it, and the reasons why it’s crucial.
Data protection reliability is the ability to protect personal information from malicious or accidental changes, as well as from unauthorized disclosure and access. This is achieved by maintaining the integrity of data, ensuring that it is accurate and complete, enabling reliable analytics and decision-making, and protecting against internal and external threats. It’s important to note that there are many different elements that determine the quality of data, and while validation and validity are the most important elements, it’s also necessary to have tools that enhance the quality of data in order to improve the reliability of data.
To ensure the integrity of your data, it’s important to regularly review your data. This can help uncover any areas in which your data may be unreliable as well as identifying the areas where you can make improvements. For instance, if the examination reveals that certain of your data is not valid, this may be addressed through a process of data preparation.
It is also essential to establish and maintain an established data governance framework that ensures the integrity of your data. This includes establishing policies and procedures to control and handle data as well as processes for monitoring and tracking the quality of your data. This can be done by using a single data platform that gives you a clear view of the state of all your data assets and pipelines. This will allow you to be alerted whenever data issues occur and determine the root cause in order to avoid them repeating themselves.
The right to transferability of data is an important aspect of integrity of data. It refers to the ability to move data between controllers. This is a crucial aspect of being able to utilize data for various purposes and it’s a requirement for certain sectors to ensure regulatory compliance. It also helps reduce costs since it allows companies to share the same data across departments.
The right to data portability as defined in Article 20(1) GDPR, permits individuals to transfer their personal information between controllers, as long as it is technically feasible and doesn’t adversely impact the rights and freedoms or rights of others. This applies to both structured and unstructured data. For instance, data could be transferred from a spreadsheet into an analytics tool, or be transferred from cloud services to a local system.