We live in a digital era where businesses use, analyze and rely on data, their processes and databases. An important part of data is its integrity because it ensures data is unchanged, undivided and in its complete, consistent form. More importantly, data integrity means the data is trustworthy. Organizations make data driven decisions, and if the data has been altered or changed it can have a negative impact on the business. Data integrity can also come into play when it comes to meeting different data regulations and compliance standards that are requirements in certain industries today. Let's explore what data integrity is, the different types of integrity and how it relates to data quality and security.
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