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Melissa Data Quality Valuable Features

GaryM - PeerSpot reviewer
Data Architect at World Vision

The high value in this tool is its relatively low cost, ease of use, tight integration with SSIS, superior performance (compared to competitors), and attribute-level advanced survivor-ship logic. There's no separate server needed and no separate application to maintain.

This vendor offers a large variety of components from on-prem to cloud SaaS as well as hybrid of cloud and on-prem. This review is specific to the "MatchUp for SSIS" component.

For us, this tool had very high value due to the fact that we didn't have to become experts in some overly complicated DQ tool. And because it is fully integrated with our EDW ETL rather than having to originate and integrate an external application.

We are using it for daily 1) direct matching, 2) column-level survivor-ship and 3) mail house-holding. We started with B2C customers and later added B2B customers. The tool supports unique matching specific to organization names and individual names (as well as a variety of other specialized types of data values) and works well in both cases. For example it can pull out nicknames and match on those.

One of the business and operational benefits for us is feeding the end result to Adobe Campaign for marketing automation. But the primary output is simply creating and managing an analytical golden record for our customer data. This has provided a very effective, holistic, maintenance-free, and extremely cost effective solution for us.

The initial POC was up and running in just a few days with no training needed. The plug-in into our ETL tool was seamless and fully integrated into our existing processes. Most of our effort was due to the need to identify customer survivor-ship requirements and validation. Any needed adjustment changes could be done very quickly allowing us to focus on business requirements instead of implementing technology.

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Buyer's Guide
Data Quality
September 2022
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