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Data Quality and Its Importance in Analysis

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Data Quality and Its Importance in Analysis

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Questions and Answers

What is a common issue with the DoB column in the given dataset?

The dates are invalid, such as 14/13/1986 (correct)
The dates are in the wrong format
The dates are missing for some records
The dates are not in chronological order

What is a potential consequence of having duplicate customer records?

Improved data quality
Increased storage costs
Excess inventory and sub-optimal procurement decisions (correct)
Faster data processing

What is the primary reason why data quality is important?

To ensure data is in a format ready for analysis
To avoid inaccurate data impacting business decisions (correct)
To ensure data is collected from the correct population
To identify duplicate records

What is an example of inconsistent data?

One customer with two different addresses (C) Signup and view all the answers

What is an example of inaccurate data?

A customer address that is technically correct but incorrect for the business context (B) Signup and view all the answers

What is the most common type of dirty data?

Incomplete data (A) Signup and view all the answers

What is the primary characteristic of dirty data?

Data that takes away the data integrity of the entire dataset (D) Signup and view all the answers

What can occur when data is collected using the wrong method?

Dirty data that takes away the data integrity (A) Signup and view all the answers

What is a potential issue with the Country column in the given dataset?

Kuala Lumpur is listed as a country (C) Signup and view all the answers

What is an example of invalid data?

Invalid IC number 6611-11-7042 (A) Signup and view all the answers

What is the purpose of data validation?

To ensure field values are within a valid range (B) Signup and view all the answers

What is essential for making informed decisions on how to handle incomplete or incorrect data?

Domain knowledge expert input (A) Signup and view all the answers

What is the primary goal of data cleaning?

To address data quality issues and transform raw data for analysis (D) Signup and view all the answers

What is the purpose of checking for consistency in data?

To check if the same data is kept in all the places that do or do not match (C) Signup and view all the answers

What is the consequence of not cleaning data?

Invalid business decisions (C) Signup and view all the answers

What is the purpose of data cleaning in relation to business intelligence?

To create standardized and uniform data sets (D) Signup and view all the answers

What is the term for the process of preparing data for analysis by removing or modifying incorrect data?

Data cleaning (C) Signup and view all the answers

Why is it important to ensure data is believable?

To ensure the analysis is valid and the result is reliable (C) Signup and view all the answers