Given the following data set: Which of the following is the best reason for cleansing the data?

The correct answer is A. Duplicate data. Duplicate data - records that appear more than once in a dataset - is one of the most common and impactful reasons to cleanse data, as duplicates skew analysis results, inflate counts, and compromise data integrity. Imputed data refers to values filled in to replace missing…

Data Governance, Quality, and Controls

Question

Given the following data set:

Which of the following is the best reason for cleansing the data?

Exhibit

Options

ADuplicate data
BImputed data
CRedundant data
DCorrupt data

How the community answered

(41 responses)

A
88% (36)
B
2% (1)
C
7% (3)
D
2% (1)

Explanation

Duplicate data - records that appear more than once in a dataset - is one of the most common and impactful reasons to cleanse data, as duplicates skew analysis results, inflate counts, and compromise data integrity. Imputed data refers to values filled in to replace missing data, which is itself a cleansing technique rather than a reason to cleanse. Redundant data is similar to duplicate but typically refers to unnecessary repeated fields. Corrupt data is a valid cleansing reason, but duplicate records are the most frequently cited data quality issue requiring cleansing.

Topics

#Data Cleansing#Data Quality#Duplicate Data#Data Preparation

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