Data is essential to the success of every organization. Data can only give accurate and meaningful results when it’s reliable. Without reliable data, businesses risk making costly mistakes and wasting time, money, and resources. Reliable data is the base for building trust within an organization, and it’s among the primary objectives of implementing a data integrity initiative. In this article, we’ll discuss everything you must know about the reliability of your data protection by defining what it is and how you can control it and why it’s important.
Reliability of protection for data is the ability to ensure that personal information is protected against malicious or accidental modifications as well as unauthorized access and disclosure. This is achieved by maintaining the consistency of data, and ensuring that it’s accurate and complete, enabling reliable analytics and decision-making, while protecting against internal and external threats. Validation and validity are important elements of ensuring the reliability of data. However tools that can improve the quality of data are required to improve the reliability of data.
It’s important to regularly assess your datasets to ensure that they are reliable. This will help determine areas where data might not be reliable, and areas that require improvement. For example, if the evaluation reveals that some of your data is invalid the issue can be addressed by an analysis of the data.
It’s also essential to establish and follow the data governance structure which ensures the security of your data. This means the creation of processes to track and monitor quality of data as well as establishing policies and procedures for managing and handling data. This can be accomplished by using a unified platform for data that offers visibility into the state of all your data assets and pipelines. This will allow you to get alerted when data incidents occur and determine the root cause in order to prevent them from happening again.
The right to transferability of data is a crucial aspect of integrity of data. It refers to the ability to move data between controllers. This is a key aspect of data integrity, since it allows you to use the same data in different purposes. It’s also a requirement in certain sectors to comply with the requirements of regulatory agencies. It also helps reduce costs as it allows companies to use the same data across departments.
The right to data portability is provided for in Article 20(1) of the GDPR, which states that individuals have the right to transfer their personal information from one controller to the other, as long as it is technically feasible and doing so does not adversely affect the rights and freedoms of others. This is applicable to unstructured and structured information. Data can be transferred, for instance from a spreadsheet into an analytics tool or from a cloud-based service to local computers.