Data protection is broad term that refers to various processes to ensure that personal information is legally collected secured, safely stored and is never shared or used in violation of an individual’s rights. This is a vital aspect of data integrity, since reliable data is the foundation for accurate insights and well-informed choices.
The first step to ensure the reliability of data is to determine if data collection and reporting is sufficiently transparent. This includes documentation about the methods used to collect data, how it is processed, and the capability to track any changes that could impact the integrity of data.
Then, teams must ensure that the information is consistent. For instance, if an e-commerce website claims to have 100 units of stock but in reality only 10 are available, this difference will impact customer satisfaction and confidence. In the same way, inaccurate sensor data can lead to poor product quality as well as safety and health concerns.
The final step to ensure data integrity is to ensure the data you store complies with industry standards and regulations. This includes establishing data validation rules, implementing input validations and other methods to detect and prevent errors, duplicates and other issues.
Data reliability is a broad issue that affects every department within an company. There are a few major benefits to ensuring your data is safe.