Data verification: Difference between revisions

Revision as of 18:25, 28 September 2022

Revision as of 11:32, 25 November 2022

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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]].

Methods for data verification include [[double data entry]], [[proofreading]] and [https://www.solvbl.com 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 SaaS based service such as Q by SoLVBL to provide immutable seals to allow verification of the original data.

== See also ==