18 Questions
What is a common issue with the DoB column in the given dataset?
The dates are invalid, such as 14/13/1986
What is a potential consequence of having duplicate customer records?
Excess inventory and sub-optimal procurement decisions
What is the primary reason why data quality is important?
To avoid inaccurate data impacting business decisions
What is an example of inconsistent data?
One customer with two different addresses
What is an example of inaccurate data?
A customer address that is technically correct but incorrect for the business context
What is the most common type of dirty data?
Incomplete data
What is the primary characteristic of dirty data?
Data that takes away the data integrity of the entire dataset
What can occur when data is collected using the wrong method?
Dirty data that takes away the data integrity
What is a potential issue with the Country column in the given dataset?
Kuala Lumpur is listed as a country
What is an example of invalid data?
Invalid IC number 6611-11-7042
What is the purpose of data validation?
To ensure field values are within a valid range
What is essential for making informed decisions on how to handle incomplete or incorrect data?
Domain knowledge expert input
What is the primary goal of data cleaning?
To address data quality issues and transform raw data for analysis
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
What is the consequence of not cleaning data?
Invalid business decisions
What is the purpose of data cleaning in relation to business intelligence?
To create standardized and uniform data sets
What is the term for the process of preparing data for analysis by removing or modifying incorrect data?
Data cleaning
Why is it important to ensure data is believable?
To ensure the analysis is valid and the result is reliable
Test your understanding of data quality and its significance in making informed business decisions. Learn how to handle inconsistent and missing data, and the importance of domain expertise in data analysis.
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