Overview
What is SAP Data Quality Management?
SAP Business Objects Data Quality Management embeds data quality functionality into SAP applications.
SAP Data Quality Management Addresses Data Cleansing and Validation to Make Data-driven Business Conclusions
Freindly, Incredible, and Stable Solution for Data Controlling.
Long Lasting, Concrete, and Comprehensive Solution for Data Control and Security.
Fruitful, Engaging, and Quality Data Manager and Analytical Platform
For Good And Quality Data Think Of SAP Data Quality Management
A genial tool to embed business processes to self-service model.
My SAP Data Quality Management Review
Clean data
My thoughts on SAP Business Objects Data Quality Management
Mostly a very useful tool with minor things left desired
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Popular Features
- Data source connectivity (11)10.0100%
- Master data management (MDM) integration (10)9.999%
- Data element standardization (10)9.999%
- Data profiling (10)9.696%
Pricing
What is SAP Data Quality Management?
SAP Business Objects Data Quality Management embeds data quality functionality into SAP applications.
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Features
Data Quality
Data quality tools are designed to ensure that business data is as reliable as possible so that it can provide a solid basis for effective decision-making
- 10Data source connectivity(11) Ratings
Ease of connection to multiple data sources
- 9.6Data profiling(10) Ratings
Ability to find anomalies and hidden relationships between data elements
- 9.9Master data management (MDM) integration(10) Ratings
Quality of integration with MDM systems
- 9.9Data element standardization(10) Ratings
Parsing and standardization of data elements according to predefined rules
- 9.9Match and merge(10) Ratings
Ability to identify potential matches and then merge
- 10Address verification(10) Ratings
Data format checking and valid address checking
Product Details
- About
- Tech Details
- FAQs
What is SAP Data Quality Management?
SAP Data Quality Management Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(50)Attribute Ratings
Reviews
(1-5 of 5)SAP Data Quality Management Help Access and View Data Patterns, Future Projections, Track and Manage Data Quality Trends in a Centralized Source
- 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)
- Data source connectivity
- 100%10.0
- Data profiling
- 100%10.0
- Master data management (MDM) integration
- 100%10.0
- Data element standardization
- 100%10.0
- Match and merge
- 100%10.0
- Address verification
- 100%10.0
- Data preparation and visualization allows our business to stand at top-notch on real-time decisions.
- Collaboration on data for teams.
SAP Data Quality Management Addresses Data Cleansing and Validation to Make Data-driven Business Conclusions
- 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.
- Data source connectivity
- 100%10.0
- Data profiling
- 100%10.0
- Master data management (MDM) integration
- 100%10.0
- Data element standardization
- 100%10.0
- Match and merge
- 100%10.0
- Address verification
- 100%10.0
- 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.
- 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.
- Unfortunately, SAP Data Quality has problems with third-party coordination and integration.
- Location analytics is not fully active, hence, demands significant transformation.
- Extra costs which are hidden and they affect firms financial position.
- Data source connectivity
- 100%10.0
- Data profiling
- 90%9.0
- Master data management (MDM) integration
- 100%10.0
- Data element standardization
- 100%10.0
- Match and merge
- 100%10.0
- Address verification
- 100%10.0
- The merging of data, from numerous sources, makes the metrics of analytics accurate and they manage decisions.
- Besides, SAP Data Quality has a robust cleansing tool for data, making it effective to obtain it from different secure and affirmed sources.
- Finally, SAP Data Quality deals with sales analysis, very reputable in making information available for competitive market support.
Fruitful, Engaging, and Quality Data Manager and Analytical Platform
- Data profiling and journey tracking is what SAP Data Quality has made us attain.
- Comprehensive, competent, and intelligent data analysis after proper preparations.
- Finally, expandable external space for cloud space, making the entire operations have a considerable backup.
- 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.
- Data source connectivity
- 100%10.0
- Data profiling
- 90%9.0
- Master data management (MDM) integration
- 90%9.0
- Data element standardization
- 100%10.0
- Match and merge
- 100%10.0
- Address verification
- 100%10.0
- 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.
- Oracle Data Integration Platform Cloud and Cisco Cloud Object Storage (COS)
A genial tool to embed business processes to self-service model.
- Seamless end to end solutions.
- Address cleansing.
- Geocoding.
- Consumption based pricing.
- Accurate location analytics.
- Increased customer satisfaction.
- Reduces unnecessary costs.
- Data source connectivity
- 100%10.0
- Data profiling
- 100%10.0
- Master data management (MDM) integration
- 100%10.0
- Data element standardization
- 100%10.0
- Match and merge
- 100%10.0
- Address verification
- 100%10.0
- Agile data preparation.
- Collaboration.
- Integration.