Recall & Review
beginner
What does 'clean data' mean in business intelligence?
Clean data means data that is accurate, complete, consistent, and free from errors or duplicates.
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beginner
Why is clean data important for reports?
Clean data ensures reports show true and reliable information, helping good decisions.
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beginner
Name one common problem caused by dirty data in reports.
Dirty data can cause wrong totals or misleading trends in reports.
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intermediate
How can you clean data in Power BI?
Use Power Query to remove duplicates, fix errors, and fill missing values before building reports.
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beginner
What is the impact of clean data on decision making?
Clean data leads to accurate reports, which help leaders make confident and effective decisions.
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What is a sign of dirty data in a report?
✗ Incorrect
Missing or duplicate records indicate data problems that can cause inaccurate reports.
Which Power BI tool helps clean data before analysis?
✗ Incorrect
Power Query is used to clean and transform data before creating reports.
Why should you clean data before creating reports?
✗ Incorrect
Cleaning data ensures the reports reflect true information for better decisions.
What can happen if you use dirty data in reports?
✗ Incorrect
Dirty data can cause reports to show incorrect or misleading insights.
Which of these is NOT a characteristic of clean data?
✗ Incorrect
Duplicate data is a sign of dirty data, not clean data.
Explain why clean data is essential for creating accurate reports in Power BI.
Think about how errors or missing data affect what the report shows.
You got /4 concepts.
Describe common steps you would take to clean data before building a report.
Consider simple fixes that improve data quality.
You got /4 concepts.