Oracle Enterprise Data Quality vs. SAP Data Quality Management

• Ease of adding localized and customized data quality formulations (for instance asking for Turkish Citizenship Number from governmental web service and checking whether data is the same with the output).
• Finding the "golden record" from the duplicated records.
• Adding and/or merging missing information from different data sources.
• Using patterns and statistical functions to complete the data.
• Address verification (can be localized).
• Parsing of combination of records.
• Enriching required data from free text (story told) inputs.

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

• Address verification helps you filter bad data out and improve your data quality.
• Strength by DnB enriched information to address the correct customer by address.
• expert data profiling to help us quickly understand our current data health.

Incentivized

• 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

• Updates are few and far between as this has transitioned to the Cloud and is the core engine for DIPC (Data Integration Platform Cloud).
• Needs governance around the tool if multiple people are running reports (e.g. if someone is running a process, it locks out other users).

Incentivized

• 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

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

Incentivized

Oracle Enterprise Data Quality is affordable and I find it more resourceful. Using it is easy too thanks to the improved UI.

Incentivized

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

• Details verification, for instance, address ensure the quality of every operation is sustained.
• Further, sales analytics improves the market share as customers get to apprehend the business needs.
• Oracle Data Quality has consistent data connectivity, a standard way of improvising business requirements.

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