An outcome of the verification step of data cleansing?

Prepare for the WGU BUS2770 D467 Exploring Data Exam. Dive into interactive quizzes and insightful flashcards, each featuring detailed explanations to optimize your learning experience, and get exam-ready!

Multiple Choice

An outcome of the verification step of data cleansing?

Verification in data cleansing focuses on confirming that the cleansed data will actually serve the original purpose of collecting and analyzing it. It checks that the cleaning steps preserve the information and structure needed for the intended use, including essential fields, correct data types, and adherence to business rules. By verifying, you ensure the results will be suitable for the planned analysis and decision-making, rather than drifting away from what you set out to study. This step isn’t about normalizing data across sources, which is more about standardization; it isn’t about generating new insights, which happens during analysis; and it isn’t about reducing data size by removing outliers, which involves other data preparation choices.

Verification in data cleansing focuses on confirming that the cleansed data will actually serve the original purpose of collecting and analyzing it. It checks that the cleaning steps preserve the information and structure needed for the intended use, including essential fields, correct data types, and adherence to business rules. By verifying, you ensure the results will be suitable for the planned analysis and decision-making, rather than drifting away from what you set out to study. This step isn’t about normalizing data across sources, which is more about standardization; it isn’t about generating new insights, which happens during analysis; and it isn’t about reducing data size by removing outliers, which involves other data preparation choices.

More practice questions