For Good And Quality Data Think Of SAP Data Quality Management
Updated December 14, 2021

For Good And Quality Data Think Of SAP Data Quality Management

Sherman Urrutia | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with SAP Data Quality Management

A widely used tool across sales and marketing departments of our organization for getting enhanced, cleansed, harmonized, and quality data that is always handy for decision making.
  • Has provided us with the most needed harmony of information through a huge database
  • Has given us a handy and reliable way of counter checking financial information.
  • Features like audition, data migration standardization have really helped our management in doing various functions which in the long run have cut our expenditures.
  • Smart brocasted/extracted data schedules.
  • Available automatic data cleansing
  • Capable of being used across departments hense cost effective
  • Time is always said to be money SAP Data Quality Management comes with handy features like address verification, merge and match and lastly it also gives you an option to get rid of redundant data which saves you time in decision making.
  • Keeping and automatically getting rid of data has been really easy.
  • Through most of its features integrity has been with us always.
SAP Data Quality Management is easy to use and for its price, it has given us results as compared to the above.

Do you think SAP Data Quality Management delivers good value for the price?

Yes

Are you happy with SAP Data Quality Management's feature set?

Yes

Did SAP Data Quality Management live up to sales and marketing promises?

Yes

Did implementation of SAP Data Quality Management go as expected?

Yes

Would you buy SAP Data Quality Management again?

Yes

For its wide use across many departments, I find SAP Data Quality Management a key ingredient in our organization as it solves most of the sales and marketing puzzles.

SAP Data Quality Management Feature Ratings

Data source connectivity
10
Data profiling
10
Master data management (MDM) integration
10
Data element standardization
10
Match and merge
9
Address verification
10

SAP Data Quality Management Reliability