Data protection is broad term that refers to many different processes that ensure that personal data is collected legally protected, stored in a secure way, and never shared or misused in violation of an individual’s rights. This is a key element of data security, since reliable data is the base for accurate insights and well-informed choices.
To ensure data integrity In order to ensure the reliability of data, the first step is to assess if the process of collecting and reporting data is sufficiently transparent. This includes documentation on how data is collected, processed, and the capability to monitor any changes that may impact the integrity of data.
Next, teams need to ensure that data is accurate. For example for instance, if an online retailer declares that it has 100 units in stock but in reality only 10 are available, this discrepancy will affect customer satisfaction and trust. In the same way, inaccurate sensor data can result in poor product quality as well as health and safety issues.
The final step to ensure data integrity is to make sure the data you store is in line with industry standards and compliance regulations. This involves establishing data validity rules, implementing input validaters and other defensive tactics to detect and prevent errors, duplications and other issues.
Data reliability is a complex issue that affects all departments within an organization. But, there are a few key benefits of ensuring that your data is secure across the all departments: