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.

Address validation, standardizing and formatting.

We like having the ability to write our own utilities/software to process our records and store the final output the way we want. We use the objects inside of programs that we wrote in VB/VB.NET. This tool works better for us than using a batch processing system that we do not have enough control over as each record is being processed. 

We have a large volume of customers (millions) and this suite is the best priced for what we need.

We use the cloud version for NCOA and the on-premise version for the normal batch processing from our POS systems. The two components we use are the Contact Verify and MatchUp components.

Contact Verify: Ability to cleanse the name, phone, & address information. The codes that accompany the output record helps our system determine whose address is accurate and if not, what are the issues with the address. This software assists in more complete analysis of our customers.

MatchUp: Ability to "DeDupe" and retrieve possible customer matches which keeps our customer master clean and accurate.

We only use the address hygiene tool, so I can't really comment on their other tools. We did look at their email verification as well, because we also use another service for it. We do not switched to them, but it was not due to the functionality of that service. It was just that it required some reengineering on our end to do so. We did not feel that we had the right capacity to do it at that time. All I can say is we use the address hygiene service, and we have been pleased with it. 

The Append feature. The majority of the time we have a customer’s name and address and we need to find their phone number or email.

Automated data verification.

Address validation and parsing are most valuable to us, as we require the address segmented into its individual attributes for processing.

Data cleansing and geo coding.

Extracting the property in question, the owner's address, and the address coming off of the APN number.

Ease of use.

Melissa Data Personator and Global Phone Check.

Web service connections - easy to maintain synchronous connections.

It provides address standardization and NCOA, and deliverable addresses. This saves our clients time, and money in postage fees, by providing updated and undeliverable addresses.

Melissa Data Contact Verify

Phone numbers, so we can help people market efficiently.

• The flexibility of their products
• Services for all manner of data-driven organizations, no matter their size or budget.

It's most useful in getting us names of homeowners. The phone numbers also make it convenient and easy to contact potential leads. This allows us to personalize postcards to advertise our services.

• Very straightforward installation & Configuration steps. We configured Personator & Match process and part of our daily SSIS ETL load process.
• Very Easy to use. 
• Procured missing customer information. We simply passed basic details of out customers like Name, Address, Phone Number and Personator application was able to append Emails, New Address if moved, Phone number, Geocode. Personator also standardizes existing customer information.
• Match process provided reliable single view of data. We used it for de-duplication, matching & mastering customer records.

Simplicity, ease of use, combined with overall accuracy of data.

• Being able to open up large files
• The extensive merge/purge capabilities

We handle large amounts of data, in the terabytes. It's important to be able to have a program that can handle that large amount of data at one time, and effectively do internal dedupes of the data itself.

The SSIS workflow component has been valuable for me to recommend for enterprise-level production work.

Contact Address Verify Component.

We use a Melissa API to access the data, so it easy to use, accurate, and fast.

Ability to validate customer addresses.

Enables us to send out bulk mailings when we need to verify NCOA.

We only use the one feature for the NAICS code. This allows our product users to know what industry a business is in.

Getting the most up to date address for our members. We like to keep in touch with membership a few times a year so we want to maintain up to date addresses to be sure they receive any information that we mail to them.

Standardizing and verifying are equally important to me. Standardizing allows me to more effectively check for duplicate/existing records. Verifying increases the value of the data.

• Spelling of names
• Email addresses

• Address parsing
• Cleansing
• Standardization
• SSIS integration

Address verification. It ensures our customers get their packages, and we aren’t charged for incomplete address information.

Being able to send out client mailings with the most accurate addresses possible. 

Ability to keep our data set clean and usable for our community searches.

Listware Online. I can enter a list of addresses and get names of residents, whether owners/renters, and their phone numbers.

Address searching and verification. The user can quickly search for an address and verify it in a multi-country setup.

Address parsing. Our other software does not have this functionality.

• Address/county data lookup
• Address correction

Accuracy. Our downstream data analytics solutions depend on quality data.

Both Contact Verify and MatchUp are valuable to us. Without cleaning the data and matching existing data, it would be challenging to accomplish our clients' requirements.

Contact Verify is very simple to use and performs very fast.