True, he should consider the reports generated from that data as invalid and not use them when making decision if a manager identifies numerous data integrity issues.
What is meant by data integrity issues ?
- Data dependability and trustworthiness throughout its lifespan are referred to as data integrity. It may refer to the validity or invalidity of your data, or it may explain the steps taken to ensure and maintain the correctness and validity of your data.
- For example, error checking and validation are typical techniques for guaranteeing data integrity as part of a process.
- Data security is not the same as data integrity. Data protection is referred to as data security, whereas data reliability is referred to as data integrity.
- Data security focuses on ways to reduce the danger of leaks of trade secrets, emails, medical data, corporate papers, and more. Permissions management, data classification, identity and access management, threat detection, and security analytics are a few data security strategies.
Learn more about data integrity issues refer :
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