What is the primary goal of data cleansing in the context of data management?
- Enhancing data visualization techniques
- Ensuring data accuracy and consistency
- Facilitating data transmission speed
- Maximizing data storage capacity
The primary goal of data cleansing is to ensure data accuracy and consistency. It involves detecting and correcting errors, inconsistencies, and discrepancies in data to improve its quality and reliability for analysis, decision-making, and other data-driven processes. By removing or rectifying inaccuracies, data cleansing enhances the usability and trustworthiness of the data.
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