IBM InfoSphere QualityStage vs. SAP Data Quality Management

Standardization of data using rules for names and addresses. Possibility of building our own rules to standardize other data. Contruction of complex rules of matching and consolidation of data. Native integration with ETL tools and data governance.

Incentivized

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.

Incentivized

• Create rules
• Standardization and normalization of data
• Integration with DataStage

Incentivized

• Eliminate all data duplicates, which affects the space and the inefficiency of the database.
• Further, SAP Data Quality Management has determined address cleaner, very friendly in making systems and data verification a success.
• Simplistic customization strategies, that personalize all the business processes.

Incentivized

• Should include all the data profiling functionality
• Better features to tune matching capability
• Include AI to automatically recommend actions to improve processes

Incentivized

• Does not support three-dimensional databases
• Does not allow multi-hosting of server
• Does not allow multi data hosting and data mirroring for data safety

Incentivized

As with other SAP products, there is excellent support from SAP on this new tool.

Incentivized

It is a robust tool. It can be integrated with several DB. It works very well with DS. You can create your rules, and define the percentage of standardization or normalization

Incentivized

SAP Data Quality supports the integration with significant sources, but security and accuracy are maintained and enhanced. Besides, SAP Data Quality eliminates the data duplicates, a solution that saves on space, and improves the loading power of any system. More so, SAP Data Quality plays a vital role in data monitoring, which concentrates on authentic processes and efficient system management.

Incentivized

• Improving Data Quality
• Reducing costs due to better Data Quality
• Single view of customer / product
• Better data governance

Incentivized

• Data connectivity and integration back up any analytical procedures, hence, offering top-notch and standard results.
• The data preparation and security outlines make businesses stand and have real-time decisions.
• Finally, SAP Data Quality has a focused storage platform, that governs and controls even the largest database.

Incentivized