Informatica Address Verification vs SAP Data Quality Management comparison

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Address Verification and SAP Data Quality Management based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality.
To learn more, read our detailed Data Quality Report (Updated: April 2024).
767,995 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The scalability is very high."

More Informatica Address Verification Pros →

"Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product.""We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very important for our products."

More SAP Data Quality Management Pros →

Cons
"The only thing that I can imagine that might be improved is how the available transactions verify addresses used. These transactions have a valid end date and must be used within the agreed timeframe."

More Informatica Address Verification Cons →

"SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management.""I would like for them to develop a feature to able to record all of our inspections; so all the data can go through SAP. It's not user-friendly or easy to get further analysis, so we mostly skip this step."

More SAP Data Quality Management Cons →

report
Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
767,995 professionals have used our research since 2012.
Questions from the Community
Ask a question

Earn 20 points

Top Answer:We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very… more »
Top Answer:SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all… more »
Top Answer:In the last three years, my company used SAP Data Quality Management for a manufacturing site, particularly for creating inspection lots, recording the results, and costing the inspection lots from… more »
Ranking
12th
out of 56 in Data Quality
Views
721
Comparisons
473
Reviews
0
Average Words per Review
0
Rating
N/A
5th
out of 56 in Data Quality
Views
1,069
Comparisons
909
Reviews
1
Average Words per Review
813
Rating
9.0
Comparisons
Also Known As
AddressDoctor Data Quality
SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
Learn More
Overview

Data as a Service (DaaS) helps organizations of all sizes verify and enrich their data so they can confidently engage with their customers. With customer experience and engagement a top focus across all industries, ensure that messages and products make it to their intended targets via postal mail, email, or phone.

SAP BusinessObjects Data Quality Management, version for SAP solutions (DQM for SAP), enables you to embed support for data quality directly into SAP ERP,CRM and MDG applications. Start by entering a new customer, supplier, or partner record using the SAP ERP, SAP CRM , SAP MDG applications. Then this version of SAP BusinessObjects Data Quality Management software corrects components of the address, validates the address based on referential data sources, and formats the address according to the norms of the applicable country. This solution helps in avoiding the duplicate entities entering into your SAP ERP, CRM and MDG applications(supports different MDG data models for address validation and duplicate checks) and also helps in searching and improving your existing data.
Sample Customers
Emerson Process Management, JLL
AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, R
Top Industries
VISITORS READING REVIEWS
Financial Services Firm17%
Manufacturing Company15%
Computer Software Company10%
Healthcare Company9%
VISITORS READING REVIEWS
Manufacturing Company16%
Energy/Utilities Company11%
Financial Services Firm11%
Computer Software Company11%
Company Size
VISITORS READING REVIEWS
Small Business13%
Midsize Enterprise13%
Large Enterprise74%
VISITORS READING REVIEWS
Small Business16%
Midsize Enterprise12%
Large Enterprise72%
Buyer's Guide
Data Quality
April 2024
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality. Updated: April 2024.
767,995 professionals have used our research since 2012.

Informatica Address Verification is ranked 12th in Data Quality while SAP Data Quality Management is ranked 5th in Data Quality with 2 reviews. Informatica Address Verification is rated 8.4, while SAP Data Quality Management is rated 8.6. The top reviewer of Informatica Address Verification writes "Scalable, ensures proper data governance, and is easy to set up". On the other hand, the top reviewer of SAP Data Quality Management writes "Scalable, stable, and offers good technical support". Informatica Address Verification is most compared with Trillium TS Quality, Melissa Data Quality, Ataccama DQ Analyzer, Posidex Technologies Data Quality and Talend Data Quality, whereas SAP Data Quality Management is most compared with SAP Data Services, SAP Information Steward, Melissa Data Quality, Informatica Data Quality and Syniti Data Quality.

See our list of best Data Quality vendors.

We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.