What is data integrity in analysis?
An example of an AI chatbot conversation about data integrity in analysis.
What is data integrity in analysis?
Data integrity in analysis refers to the accuracy and consistency of data throughout its lifecycle.
Why is data integrity important for decision-making?
It's crucial because decisions based on inaccurate data can lead to poor outcomes and misinformed strategies.
How can we ensure data integrity?
We can ensure data integrity through validation checks, regular audits, and using secure data storage methods.
What are common threats to data integrity?
Common threats include data corruption, unauthorized access, and human error.
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