#1 most frequent
United States of America
53.7%22 installations of 41
What is SAP Data Quality Management?
SAP Business Objects Data Quality Management embeds data quality functionality into SAP applications.
Categories & Use Cases
Top Performing Features
Data source connectivity
Ease of connection to multiple data sources
Category average: 8.3
Address verification
Data format checking and valid address checking
Category average: 8.6
Master data management (MDM) integration
Quality of integration with MDM systems
Category average: 8.6
Areas for Improvement
Data element standardization
Parsing and standardization of data elements according to predefined rules
Category average: 8.3
Match and merge
Ability to identify potential matches and then merge
Category average: 8.2
Data profiling
Ability to find anomalies and hidden relationships between data elements
Category average: 8.3
Who Buys & Uses SAP Data Quality Management
#2 most frequent
India
7.3%3 installations of 41
#3 most frequent
Switzerland
7.3%3 installations of 41
SAP Data Quality Management Addresses Data Cleansing and Validation to Make Data-driven Business Conclusions
Use Cases and Deployment Scope
Without quality data, it's impossible to have accurate insights, which deteriorates customer satisfaction. SAP Data Quality Management infuses data cleansing into business processes and data sources to easily improve the integrity of data.
Pros
- 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.
Cons
- Due to the lack of prebuilt integration capabilities on non-SAP applications, it was overwhelming to connect data, mainly on-premise applications.
Return on Investment
- 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.
Freindly, Incredible, and Stable Solution for Data Controlling.
Use Cases and Deployment Scope
SAP Data Quality Management focus is on data security, quality, and validation of anything before it gets into the system. Besides, SAP Data Quality Management has defined mechanisms for advanced data filtering, all embedded to screen and reevaluate the data before the company consumes it. Further, SAP Data Quality Management has modern data analytical proceedings, all working with some amazing data control applications. The data backup feature, with instant mechanisms of data restoration, comes from SAP Data Quality Management.
Pros
- 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.
Cons
- Significant setbacks in data mining, which is a vital system in collecting data.
- Hindrances in systematic integration, more so with the third party tools.
- Finally, SAP Data Quality Management demands high connection with the internet.
Return on Investment
- 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.
Alternatives Considered
Microsoft Power BI and Workday Human Capital Management
Other Software Used
ABLE Monitoring, Broadcom Ethernet Switches, Toad Data Point
Long Lasting, Concrete, and Comprehensive Solution for Data Control and Security.
Use Cases and Deployment Scope
SAP Data Quality is a refined, constructive, and advanced data filtering system, that ensures every content or data get full streaming for the ultimate goal of analytics and control. Further, SAP Data Quality supports data management, a productive option for supporting data infrastructure and set procedures. Through a concrete analytical inference, SAP Data Quality has made the predictive measures effective, and more enabled for demand planning. Lastly, sales are evaluated by SAP Data Quality, and definite measures are deployed to improve the supply in the market.
Pros
- 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.
Cons
- 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.
Return on Investment
- 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.
Alternatives Considered
Workday Human Capital Management and QlikView
Other Software Used
AWS Database Migration Service, Humantelligence, Infor Human Resources
Fruitful, Engaging, and Quality Data Manager and Analytical Platform
Use Cases and Deployment Scope
SAP Data Quality is known for data cleansing, making sure there is proper filtering of what should be utilized for advanced analysis. Further, SAP Data Quality offers a cloud space, that is completely divided, for an easy assortment. Besides, SAP Data Quality seeks help from different SAP products, for detailed analysis, storage management, and even predictive evaluations. Lastly, for customer help, SAP Data Quality is committed to [transforming and eliminating] the doubts that new subscribers have with the tool.
Pros
- 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.
Cons
- 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.
Return on Investment
- 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.
Alternatives Considered
Oracle Data Integration Platform Cloud and Cisco Cloud Object Storage (COS)
Other Software Used
SAP Commerce Cloud, SAP Card Management, Benchmark Email
For Good And Quality Data Think Of SAP Data Quality Management
Use Cases and Deployment Scope
A widely used tool across sales and marketing departments of our organization for getting enhanced, cleansed, harmonized, and quality data that is always handy for decision making.
Pros
- Has provided us with the most needed harmony of information through a huge database
- Has given us a handy and reliable way of counter checking financial information.
- Features like audition, data migration standardization have really helped our management in doing various functions which in the long run have cut our expenditures.
Cons
- Smart brocasted/extracted data schedules.
- Available automatic data cleansing
- Capable of being used across departments hense cost effective
Return on Investment
- Time is always said to be money SAP Data Quality Management comes with handy features like address verification, merge and match and lastly it also gives you an option to get rid of redundant data which saves you time in decision making.
- Keeping and automatically getting rid of data has been really easy.
- Through most of its features integrity has been with us always.
Alternatives Considered
SAP Information Steward