Gegevensafstemming

Gegevensafstemming, also known as data reconciliation or data matching, is the process of verifying and correcting inconsistencies within datasets. This is crucial in many fields, including finance, supply chain management, and IT, to ensure data accuracy and reliability. The core principle is to compare two or more sources of data that should ideally represent the same information and identify any discrepancies.

The process typically involves defining rules or criteria for matching records. These rules can range from simple exact matches on key fields, like customer IDs or transaction numbers, to more complex fuzzy matching techniques that account for variations in spelling, formatting, or missing information. Once potential matches are identified, a system or human analyst reviews them to determine if they are indeed the same entity or transaction.

Discrepancies can arise from various sources, such as human error during data entry, system malfunctions, or different update frequencies across systems. Gegevensafstemming aims to resolve these differences, often by updating one dataset to match another, flagging records for manual investigation, or creating a master record that consolidates the most accurate information. The benefits of effective gegevensafstemming include improved decision-making, reduced operational risks, enhanced compliance, and greater overall data integrity.