What does data normalization aim to achieve in PSE Cortex?

Data normalization in PSE Cortex focuses on organizing data to minimize redundancy and enhance data integrity. This structured approach allows the database to eliminate duplicate entries and ensure that dependencies are logical and well-defined, which ultimately leads to more efficient data management and retrieval.

By reducing redundancy, normalization helps maintain a single source of truth in the data repository, so that updates and changes are reflected consistently across the database. Improving data integrity minimizes the chances of errors or anomalies that could arise from having multiple, inconsistent copies of the same information. Consequently, this results in higher data quality and reliability, which is crucial for analysis and decision-making within the PSE Cortex framework.