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Melissa Data Quality review

it_user503892
Senior Project Manager at a retailer with 1,001-5,000 employees
On-premise Data Quality components ensures accurate mailing campaigns
Not in order of importance: 1. Ability to multi-thread. Currently we have to split the data into different paths to try to quicken processing time. In all fairness, we do have a very large customer master to match against. 2. Data types default to ANSI. If you add a column and you have everything else set to Unicode, you sometimes need to...

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