Melissa Data Contact Verify
Melissa Data Quality Review
Initial setup was straightforward but had some pain points while plugging it in the ETL.
What is most valuable?
How has it helped my organization?
When we plugin the contact verify component in the ETL from Source Systems, it will greatly help in standardizing and cleansing the source data and help keep the downstream systems clean.
What needs improvement?
It would be great if the product can be expanded to standardize and clean Telephone Numbers and TaxID’s/SSN’s.
For how long have I used the solution?
1 year
What was my experience with deployment of the solution?
We didn't encounter issues
What do I think about the stability of the solution?
We didn't encounter issues
What do I think about the scalability of the solution?
We didn't encounter issues
How are customer service and technical support?
Customer Service:
Good
Technical Support:Good
Which solution did I use previously and why did I switch?
This was the first solution we used after the POC.
How was the initial setup?
Straightforward but had some pain points while plugging it in the ETL.
What about the implementation team?
We did it internally. Had to call them for some support.
What was our ROI?
Improved data quality by 30%
What other advice do I have?
Worth looking into it, if you have data quality issues and want cleaned data in your warehouse or applications.
**Disclosure: I am a real user, and this review is based on my own experience and opinions.
Last updated: Sep 04 2014
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2 Comments
GaryMTop 5PopularReal User
So what were the pain points? Which ETL tool are you using? Please explain.
it_user363969 (Product Channel Manager at Melissa Data Corp.)Vendor
Hi Nitesh,
Thanks for your review on SSIS DQC. I am the product manager here at Melissa Data. If you have some time, please feel free to send me a message on the pain points you have experienced.
I'll bring it up to our team and see if we can make any improvements.
Thanks,
Oscar
Author
it_user150288
Technical Lead/Solution Architect at a insurance company with 10,001+ employees
Vendor
Twitter nitelal
Highlights
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.
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