Merging/Consolidation: but not entirely identical information (e.g., two customer records with slightly different contact details), they can be merged or consolidated into a single, comprehensive record. This often involves a process of data standardization and reconciliation.
Ignoring (with Justification): In very specific contexts, and with clear justification, duplicates might be deliberately ignored. For example, if a system processes events and it's acceptable for the same event ID to appear multiple times as long as it's handled idempotently. However, this is a rare exception and should be approached with caution.
Preventative Measures: The most effective strategy is to prevent sri lanka phone number list duplicates from occurring in the first place. This involves:
Implementing Unique Constraints: In databases, enforcing unique constraints on relevant columns ensures that no two records can have the same value for that attribute.17
Data Validation at Entry: Implementing robust data validation rules at the point of data entry can prevent users from submitting duplicate information.
Standardized Data Formats: Ensuring consistent data formats reduces the likelihood of duplicates arising from variations in data representation (e.g., "123 Main St." vs. "123 Main Street").18
Regular Data Audits: Periodically auditing data for duplicates helps identify and address issues before they escalate.19
Training and Awareness: Educating data entry personnel about the importance of data accuracy and the pitfalls of duplicates can significantly reduce their occurrence.