Data is the fuel that gives business insight and intelligence and is crucial to the success of any organization. But, data will only provide accurate and meaningful results only if it’s reliable. Companies are at risk of making costly mistakes, and also spending time, money, and resources, when they don’t have reliable data. Reliable data is the base to build trust within an organisation and it’s among the primary goals of implementing a database integrity initiative. In this article, we’ll look at all you should know about the reliability of your data protection by defining what it is, how to control it and the reason it’s important.

The reliability of data protection is the ability to ensure that personal data is secured against accidental or malicious changes, as well as unauthorized access and disclosure. This is achieved through maintaining consistency, ensuring that data is complete and accurate which allows trust analytics and decision making, as well as securing against internal and external threats. Validity and validation are essential aspects of ensuring reliability of data. However tools that improve the data quality are also needed to increase data reliability.

To ensure the integrity of your data, it’s essential to regularly review your data. This will help you to identify areas where data might not be reliable, and areas that need improvement. For instance, if your analysis reveals that a portion of your data is not valid it can be rectified through the process of data preparation.

It is crucial to establish and adhere to a system of data governance that ensures the reliability your data. This includes establishing guidelines and procedures to manage and handle data, as well as processes for tracking and monitoring the quality of data. This can be done by using a unified platform that provides the ability to monitor all your data assets, pipelines and systems. This will allow you to be alerted of data issues and discover the root of the problem to avoid them from happening again.

The right to data transferability is a crucial aspect of data integrity. It is the ability to transfer data between controllers. This is a crucial aspect of data integrity as it allows you to use the same data for multiple purposes. It’s also a requirement for certain sectors in order to comply with the requirements of regulatory agencies. It reduces costs since companies can utilize the same data across departments.

The right to data portability is outlined in Article 20(1) of the GDPR. It stipulates that individuals are entitled to transmit their personal data from one controller to the other, as long as it is technically feasible and doing so doesn’t adversely affect the rights and freedoms of other individuals. This applies to both structured and unstructured data. For example, data can be transferred from a spreadsheet to an analytics tool, or be transferred from cloud services to an on-site system.


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