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GeoAI - Data quality and normalization
Autor: JAKALA SPA
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Data qual ensures accurate data normalization organizes it to reduce redundancy and improve effincy
Data Quality and Normalization refer to processes that ensure data is accurate, consistent, and usable.
- Data quality involves assessing and improving data to eliminate errors, duplicates, and inconsistencies. It ensures that data is reliable and fit for analysis.
- Normalization is the process of organizing data to reduce redundancy and improve efficiency, often by structuring it into tables and defining relationships. Together, these processes enhance the integrity of data, making it easier to manage, analyze, and derive meaningful insights from.
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