What term defines the process of ensuring that data used in - CompTIA Data + DA0-001

Question

What term defines the process of ensuring that data used in analysis is high quality and can provide accurate results?

Answers
  1. correct
Explanation

Correct Answer: B. Data Validation

Data validation is the process of checking and ensuring that data is accurate, clean, and high-quality before using it for analysis. This process helps to detect errors, inconsistencies, or missing values that could impact the accuracy of analytical results.

Common data validation techniques include:

  • Type checks (ensuring numerical fields contain only numbers)
  • Range checks (ensuring values fall within an expected range)
  • Format checks (validating email addresses, dates, etc.)
  • Consistency checks (ensuring related fields match expected values)

Proper data validation ensures trustworthy and meaningful insights from data analysis.

Why the other options are incorrect:

Data Verification – Incorrect.

  • Data verification is the process of confirming that data has been copied, transferred, or entered correctly, but it does not focus on assessing data quality for analysis like data validation does.

Quality Assurance (QA) – Incorrect.

  • QA refers to processes that ensure the overall quality of a product or service, often in software development or manufacturing. While data validation is a form of quality control, QA is a broader term that does not specifically focus on data quality in analysis.

Master Data Management (MDM) – Incorrect.

  • MDM is the process of centralizing and standardizing key business data (e.g., customer or product data) across an organization. While it helps improve data consistency, it is not directly related to validating data for analysis.

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