In data quality assessment, what does the term "data profiling" refer to?
- Analyzing the structure and content of data
- Enhancing data visualization techniques
- Implementing data governance policies
- Validating data encryption algorithms
Data profiling involves analyzing the structure, content, relationships, and statistics of data within a dataset. This process aims to gain insights into the quality, consistency, and completeness of the data, identifying patterns, anomalies, and potential issues that may require cleansing or enrichment. By understanding the characteristics of the data, organizations can make informed decisions regarding data management and quality improvement strategies.
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