Item: SAP Data Quality Management
Rating: 9
Author: Lane Cox

Use Cases and Deployment Scope

Confidence during decision making has increased by visualizing quality data cleansed by SAP Data Quality Management within our business units.

Pros and Cons

Offers regular measurements for data quality.
Embed rules on data management, which improves compliance.
Check rules improves data quality.
Enhance decisions based on accurate data.
Connect data across multi-cloud and on-premise applications.

Unavailability of offline mode capability.
Requires robust internet connection, ( can be costly for SMEs)

Return on Investment

Data preparation and visualization allows our business to stand at top-notch on real-time decisions.
Collaboration on data for teams.

Alternatives Considered

Informatica Data Quality

IDQ was a best fit for our data quality management, but we didn’t have a lot of Informatica services to integrate with it hence we implemented SDQ instead.

From modern address verification, data cleansing to predictive analytics, SAP Data Quality Management makes it effective and relatively easy for me to perform all by automation workflow. Automation of data quality checks and analysis saves time and expenses.

SAP Data Quality Management Help Access and View Data Patterns, Future Projections, Track and Manage Data Quality Trends in a Centralized Source

Overall Satisfaction with SAP Data Quality Management

Use Cases and Deployment Scope

Pros and Cons

Return on Investment

Alternatives Considered

Key Insights

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

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

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

Did implementation of SAP Data Quality Management go as expected?

Would you buy SAP Data Quality Management again?

Likelihood to Recommend

SAP Data Quality Management Feature Ratings