Data protection encompasses a wide range of processes to ensure that personal information is lawfully collected, securely stored and never shared in violation of rights of the individual. This is a crucial aspect of data reliability, as reliable data is the foundation for accurate information and well-informed decisions.

To ensure the reliability of data, the first step is to determine whether the processes for collecting and reporting of data are sufficiently transparent. This includes documentation of how data is collected, processed, and the capability to track any changes that could impact data integrity.

Next, teams must ensure that data is accurate. For instance, if an e-commerce website claims to have 100 units of stock but in reality only 10 are available, this difference will affect customer satisfaction and confidence. Similar to this, inaccurate sensor data can result in poor product quality as well as health and safety concerns.

The final step in ensuring integrity of data is to ensure that your data is compliant with industry standards and compliance regulations. This means establishing data validity rules, implementing input validators and other defensive tactics to detect and prevent errors, duplications and other issues.

Data reliability best m&a certification is a complex issue that affects every department in an organization. There are a few major advantages to making sure your data is secure.