if a manager identifies numerous data integrity issues, she/he should consider the reports generated from that data as invalid a

Question

Anna007 [38]

1 year ago

7

if a manager identifies numerous data integrity issues, she/he should consider the reports generated from that data as invalid a

nd not use them when making decisions. group of answer choices true false

Computers and Technology

2 answers:

Masteriza [31] · Answer 1 · 2024-05-17T18:30:57+03:00

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 :

brainly.com/question/26800051

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forsale [732] · Answer 2 · 2024-05-17T19:50:15+03:00

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.

<h3>What is meant by data integrity issues ?</h3>

Data integrity refers to a piece of information's dependability and credibility across time. It can discuss the reliability or unreliability of your data, or it might describe the measures taken to guarantee and maintain the accuracy and reliability of your data.
Validation and error checking, for instance, are typical methods for ensuring data integrity as part of a process.
Data integrity and data security are not the same thing. Data security and integrity are terms used to describe data protection and data reliability, respectively.
Data security focuses on methods to lessen the risk of leaks of company documents, emails, medical data, and more.

Learn more about data integrity issues refer :

brainly.com/question/26800051

#SPJ1