Which of the following are reasons to conduct data cleansing? (Choose two).

The correct answer is C. To improve accuracy F. To calculate trends. Two reasons to conduct data cleansing are: To improve accuracy: Data cleansing helps to ensure that the data is correct, consistent, and reliable.This can improve the quality and validity of the analysis, as well as the decision-making and outcomes based on the data. To…

Data Governance, Quality, and Controls

Question

Options

ATo perform web scraping
BTo track KPIs
CTo improve accuracy
DTo review data sets
ETo increase the sample size
FTo calculate trends

How the community answered

(42 responses)

A
2% (1)
B
7% (3)
C
88% (37)
E
2% (1)

Explanation

Two reasons to conduct data cleansing are: To improve accuracy: Data cleansing helps to ensure that the data is correct, consistent, and reliable.This can improve the quality and validity of the analysis, as well as the decision-making and outcomes based on the data. To calculate trends: Data cleansing helps to remove or resolve any errors, outliers, or missing values that could distort or skew the data. This can help to identify and measure the patterns, changes, or relationships in the data over time.

Topics

#Data cleansing#Data quality#Data accuracy#Data preparation

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