IBM InfoSphere Information Server vs. SAP Data Quality Management

You can use infosphere: -If you have multiple targets and source systems and they are different than each other. -If your infostructure is so big and unplaned well so you can't find what you want to see. -If your databases not so strong to process your data

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

• It is very strong to make transformations/data derivations
• It is very easy to connect to various external data sources. It has an interface (stages) for each connection that simplifies the task
• It is a stable platform. And that parallelism helps make it fast for loading, if the process is well designed

• SAP Data Quality integrates with numerous data sources, all with quality control metrics for effective analysis.
• SAP Data Quality deals with modernization and addressing validation procedures.
• Permanently eliminates the available data redundancy and duplicates.

Incentivized

• Lack of a strong web development environment.
• Metadata propagation in Jobs is somewhat complex.
• The possibility to develop jobs in Parallel and/or Server Engines is confusing.

• On data mining, some fundamental features are either not strong, or unsustainable.
• Besides, the chatbot from SAP Data Quality sometimes fails to respond, a huge challenge.
• Finally, SAP Data Quality lacks the performance monitor, which should be routine and concrete.

Incentivized

• Scale of implementation
• IBM techsupport

Incentivized

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

Incentivized

I particularly believe that Information Server, especially DataStage, is superior in many aspects to the Oracle Data Integrator tool. Several market analysts such as Gartner and / or Forrester better position DataStage on the Oracle solution.

The client was on a SAP platform for most of their applications and also is planning to implement SAP Hana very soon. This tool was fitting good for the requirement of the client to manage the quality of the data and hence adapt it in the system. Also, it can go well with the BO reporting.

Incentivized

• Information Server can positively impact the costs of companies by increasing the productivity of development and therefore reduce their time and costs. It is estimated that DataStage can increase a developer's productivity by 40% on average.
• Better data governance
• Improve data quality and reduce bad data impacts

Incentivized

• Data quality from SAP Data Quality Management brings accuracy and authenticity to the entire process.
• Further, SAP Data Quality Management allows clear validation of the customer address, making it effective to manage every process and demand plan.
• SAP Data Quality Management has the potential of improving the market penetration, powerful business proceedings.

Incentivized