Wesley White: The data verification process can be complex, but with a solid methodology the process can be simplified regarding expectations of results. As part of our methodology, we ensure that there are various stepping points to make sure that the validation of the output from our migration toolset is done as expected. We do this by:
- Having the appropriate test scripts that are executed against the mappings which ensure the output is as expected by the approved mappings in hand.
- In addition, we provide a component of a visual inspection of the content as part of the script execution.
ANSI standard approach
The visual inspection provides additional confirmation as we utilize an ANSI standard approach based on the volume of content in scope. This way, we can prove that what we see is within the acceptance ratios provided by the ANSI standard. It also allows us to record a like – for – like comparison between the source and target documents, renditions and attributes. This level of review provides the confidence our clients need that the migration output was done correctly and as expected.
Once the script/verification effort is completed we wrap up our findings in a summary report which allows us to track how many documents were migrated, how many errors, and if there are any errors; the steps that were taken to address those errors. The method in which we address the errors is the key to providing a solid validation approach as well.
If errors arise from the migration, we have a deviation process that allows us to:
- identify the error
- identify the documents affected
- provide a mitigation path
- and ultimately correct the error through migrating the errored content again
This allows a complete end to end verification and mitigation process to validating our content and allows for the highest level of success and confidence when performing migrations.
