What is the primary goal of data quality assessment techniques?
- Enhancing data security
- Ensuring data accuracy and reliability
- Increasing data complexity
- Maximizing data quantity
The primary goal of data quality assessment techniques is to ensure the accuracy, reliability, and overall quality of data. This involves identifying and addressing issues such as inconsistency, incompleteness, duplication, and correctness within datasets, ultimately improving the usefulness and trustworthiness of the data for decision-making and analysis.
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