How does Caboodle ensure data integrity?

Caboodle ensures data integrity primarily through the implementation of constraints and validations during data entry. This approach is crucial because it enforces specific rules and checks on the data being input into the system. These rules can include data type validations, length checks, mandatory fields, and unique constraints, all of which help prevent the entry of incorrect or inconsistent data.

When data entry is guided by such validations, it minimizes errors and promotes consistency across the database. This proactive stance in managing data quality is essential in any data management system, as it supports reliable reporting and analytical processes later on.

The other choices, while they may play roles in the broader context of data management, do not directly maintain data integrity in the same way that constraints and validations do. For instance, simple data entry forms can improve user experience but do not inherently protect against incorrect data entry. Unrestricted access can lead to unauthorized changes and potential data corruption, while regular audits and reviews, though important for oversight, do not prevent erroneous data from being entered in real-time. Thus, the use of constraints and validations is a foundational practice in safeguarding data integrity in Caboodle.