Which term is the Veracity in Big Data most closely associated with?

Prepare for the CIMA Managing Performance (E2) Exam. Practice with flashcards and multiple-choice questions, each with explanations. Get ready for your exam!

Multiple Choice

Which term is the Veracity in Big Data most closely associated with?

Explanation:
Veracity in Big Data is about data quality and trustworthiness. It focuses on how accurate and reliable the data is, including its provenance and how free it is from errors and inconsistencies. Achieving good veracity comes from strong data governance, thorough cleansing, and clear metadata so that decision-makers can rely on the data. Volume, velocity, and variety describe how much data there is, how fast it arrives, and the different forms it takes—different concerns from accuracy. So veracity is best understood as the trustworthiness and quality of the data itself.

Veracity in Big Data is about data quality and trustworthiness. It focuses on how accurate and reliable the data is, including its provenance and how free it is from errors and inconsistencies. Achieving good veracity comes from strong data governance, thorough cleansing, and clear metadata so that decision-makers can rely on the data. Volume, velocity, and variety describe how much data there is, how fast it arrives, and the different forms it takes—different concerns from accuracy. So veracity is best understood as the trustworthiness and quality of the data itself.

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