What term describes acquiring and refining data according to project stakeholder specifications?

Study for the ISACA AI Fundamentals Test. Prepare with flashcards and multiple-choice questions, each with hints and explanations. Get ready for your exam!

Multiple Choice

What term describes acquiring and refining data according to project stakeholder specifications?

Explanation:
Acquiring and refining data to meet stakeholder specifications is data acquisition. It involves gathering data from appropriate sources, validating its relevance and quality, and transforming or cleansing it so it’s usable and aligned with the project’s needs. This step ensures the data is accurate, complete, and ready for analysis or modeling. Data governance focuses on policy and stewardship, data mining looks for patterns in large datasets, and data archiving is about long-term storage. So, the term that best fits acquiring and refining data to meet specs is data acquisition.

Acquiring and refining data to meet stakeholder specifications is data acquisition. It involves gathering data from appropriate sources, validating its relevance and quality, and transforming or cleansing it so it’s usable and aligned with the project’s needs. This step ensures the data is accurate, complete, and ready for analysis or modeling. Data governance focuses on policy and stewardship, data mining looks for patterns in large datasets, and data archiving is about long-term storage. So, the term that best fits acquiring and refining data to meet specs is data acquisition.

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