Item: SAP Data Quality Management
Rating: 10
Author: Jessica Daniels

Use Cases and Deployment Scope

Without quality data, it's impossible to have accurate insights, which deteriorates customer satisfaction. SAP Data Quality Management infuses data cleansing into business processes and data sources to easily improve the integrity of data.

Pros and Cons

Offers right-sized consumption models.
With prebuilt integration, it reduces costs and complexity when cleansing data on other SAP applications.
Offers two different components: web-bases UI and web service API including HTTPS/JSON.

Due to the lack of prebuilt integration capabilities on non-SAP applications, it was overwhelming to connect data, mainly on-premise applications.

Return on Investment

Costs are lowered due to accounts duplication reduction.
Improving customer satisfaction means high sales, which improve revenue.
Accurate reporting enables us to drive to correct conclusions.

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

Likelihood to Recommend

When reporting, we use accurate data with no duplications since they are addressed by SAP DQM, we get the right target audience by analyzing marketing data, and also helps us to understand the current situation of our firm by comparing metrics.

SAP Data Quality Management Addresses Data Cleansing and Validation to Make Data-driven Business Conclusions

Overall Satisfaction with SAP Data Quality Management