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Data verification helps to determine whether data was accurately translated when data is [[data transfer|transferred]] from one source to another, is complete, and supports processes in the new system. During verification, there may be a need for a parallel run of both systems to identify areas of disparity and forestall erroneous [[data loss]].<ref>{{Cite web |date=2022-07-19 |title=Data Verification and Data Validation Techniques |url=https://leadgenspecialists.co.uk/ |access-date=2023-04-17 |website=Intone Networks |language=en-US}}</ref>
Methods for data verification include [[double data entry]], [[proofreading]] and automated verification of data. Proofreading data involves someone checking the data entered against the original document. This is also time-consuming and costly. Automated verification of data can be achieved using one way hashes locally or through use of a [[Software as a service|SaaS]] based service such as Q by SoLVBL to provide immutable seals to allow verification of the original data.
== See also ==
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