Data Verification

- Manual Verification: This involves human checks where individuals review and compare data against original sources or predefined standards. Even though it can be time-consuming and prone to human error, it is still widely used.

- Automated Verification: Software tools can automate the verification process by performing checks quickly and efficiently. These tools can highlight inconsistencies, duplications, or errors without human intervention, making the process much simpler and faster.

- Cross-Referencing: Data is compared against external reliable sources, databases, or benchmarks. This method helps validate the authenticity and accuracy of the data.

- Validation Rules: Setting up specific criteria that data must meet (such as formats, ranges, types e.t.c.) ensures that only valid data is entered into a system.