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Why is data transformation important in Power BI for ensuring data quality?

easy📝 Conceptual Q11 of 15
Power BI - Power Query Editor
Why is data transformation important in Power BI for ensuring data quality?
AIt hides errors without fixing them.
BIt increases the size of the dataset.
CIt cleans and standardizes data for accurate analysis.
DIt creates new unrelated data.
Step-by-Step Solution
Solution:

  1. Step 1: Understand the role of data transformation

    Data transformation prepares data by cleaning and standardizing it, which helps avoid errors in analysis.

  2. Step 2: Identify the correct purpose

    Increasing dataset size or hiding errors does not improve quality; creating unrelated data is irrelevant.

  3. Final Answer:

    It cleans and standardizes data for accurate analysis. -> Option C

  4. Quick Check:

    Data transformation = cleaning and standardizing [OK]
Quick Trick: Data transformation cleans data for better reports [OK]
Common Mistakes:
  • Thinking transformation adds unrelated data
  • Believing it only increases data size
  • Assuming errors are hidden, not fixed

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