By implementing the appropriate data validation and error checking, you can ensure that sensitive data is never miscategorized or stored incorrectly, thus exposing you to potential risk. The importance of data integrity in protecting yourself from data loss or a data leak cannot be overstated: in order to keep your data safe from outside forces with malicious intent, you must first ensure that internal users are handling data correctly. It is maintained by a collection of processes, rules, and standards implemented during the design phase. When the integrity of data is secure, the information stored in a database will remain complete, accurate, and reliable no matter how long it’s stored or how often it’s accessed. Data integrity also refers to the safety of data in regard to regulatory compliance - such as GDPR compliance - and security. What is data integrity?ĭata integrity is the overall accuracy, completeness, and consistency of data. Read on to learn what data integrity is, why it’s essential, and what you can do to keep your data healthy. Understanding the fundamentals of data integrity and how it works is the first step in keeping data safe. In this era of big data, when more pieces of information are processed and stored than ever, data health has become a pressing issue - and implementing measures that preserve the integrity of the data that’s collected is increasingly important. Problems with the accuracy of data and consistency of data exist across all industries and can cause everything from minor hassles to significant business problems. Unfortunately, this real-life example of compromised data integrity isn’t uncommon. But when the FDA inspects the offshore production facility, work is halted immediately important quality control data is missing. Imagine this: A pharmaceutical company touts the safety of its new wonder drug.
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