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What is Data Integrity and Why is it Important to your Business?

Healthy, clean data can prove to be a major competitive upper hand for businesses that spend resources and time on their data management planning. The industry today lives in the age of data, and the companies that use data smartly and leverage data integrity can make efficient data-driven judgments, enhance data quality, and lower the risk of data loss and data corruption. We need to address questions like what can be done to ensure high standards of data integrity. 

What is data integrity?

In simple terms, data integrity is the consistency and accuracy of data throughout its complete life cycle, from the time it is collected and stored to when it is processed, analyzed, and used. 

Data integrity management means making sure data is accurate and complete, error-free, and anomaly free. These things will prevent compromising data quality. 

Data that has been stored accurately and consistently and recorded will keep its integrity. However, if data is distorted or corrupted, it can’t be trusted for use in business. 

Importance of data integrity

Data integrity is vital for various reasons, one is being fundamental in regulated industries, where data should be complete, accurate, and verifiable at all times. Poor data integrity can result in businesses losing money, a positive public image and industrial reputation, and important production time. 

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