Item: SAP Data Quality Management
Rating: 10
Author: Martin Lance

Use Cases and Deployment Scope

Through quality data processing, we are able to determine the right target audience for marketing campaigns which helps to eliminate the cost of publication, mistakes of identifying relevant accounts, and inaccurate information which causes delayed shipments and payments. It embeds data cleansing and enrichment services with a self-service, right-sized consumption model.

Pros and Cons

Seamless end to end solutions.
Address cleansing.
Geocoding.
Consumption based pricing.

Accurate location analytics.
Increased customer satisfaction.
Reduces unnecessary costs.

Return on Investment

Agile data preparation.
Collaboration.
Integration.

Alternatives Considered

AssurX

Ease of use. Reverse geocoding. Postal certifications. Providing extended data quality capabilities.

Key Insights

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

Other Software Used

AssurX

Likelihood to Recommend

Reduce undeliverable package fees, returned mails, and possible government compliance fees for incorrect employee address information. Ensure timely delivery of packages and communication. Provide relevant communication based on location intelligence. Correct, consistent, and standardized location information to ensure accurate location analytics to make better decisions.

A genial tool to embed business processes to self-service model.

Overall Satisfaction with SAP Data Quality Management