IBM QualityStage vs SAP Data Quality Management comparison

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Executive Summary

We performed a comparison between IBM QualityStage and SAP Data Quality Management based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality.
To learn more, read our detailed Data Quality Report (Updated: March 2024).
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Top Answer:We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very… more »
Top Answer:SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all… more »
Top Answer:In the last three years, my company used SAP Data Quality Management for a manufacturing site, particularly for creating inspection lots, recording the results, and costing the inspection lots from… more »
Ranking
18th
out of 44 in Data Quality
Views
222
Comparisons
156
Reviews
0
Average Words per Review
0
Rating
N/A
5th
out of 44 in Data Quality
Views
1,138
Comparisons
964
Reviews
1
Average Words per Review
813
Rating
9.0
Comparisons
Also Known As
QualityStage
SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
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Overview
IBM QualityStage is a foundational component for your data quality and information governance initiatives. It helps you create and maintain consistent views of key entities including customers, vendors, locations and products. This lets you investigate, cleanse and manage your data.
SAP BusinessObjects Data Quality Management, version for SAP solutions (DQM for SAP), enables you to embed support for data quality directly into SAP ERP,CRM and MDG applications. Start by entering a new customer, supplier, or partner record using the SAP ERP, SAP CRM , SAP MDG applications. Then this version of SAP BusinessObjects Data Quality Management software corrects components of the address, validates the address based on referential data sources, and formats the address according to the norms of the applicable country. This solution helps in avoiding the duplicate entities entering into your SAP ERP, CRM and MDG applications(supports different MDG data models for address validation and duplicate checks) and also helps in searching and improving your existing data.
Sample Customers
PRO BTP, Gachon University Gil Hospital, Sicoob, NICE Systems, Integra LifeSciences Corp.
AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, R
Top Industries
No Data Available
VISITORS READING REVIEWS
Manufacturing Company16%
Financial Services Firm13%
Energy/Utilities Company11%
Computer Software Company10%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business16%
Midsize Enterprise11%
Large Enterprise73%
Buyer's Guide
Data Quality
March 2024
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality. Updated: March 2024.
763,955 professionals have used our research since 2012.

IBM QualityStage is ranked 18th in Data Quality while SAP Data Quality Management is ranked 5th in Data Quality with 1 review. IBM QualityStage is rated 9.0, while SAP Data Quality Management is rated 8.6. On the other hand, the top reviewer of SAP Data Quality Management writes "Scalable, stable, and offers good technical support". IBM QualityStage is most compared with IBM Infosphere Information Analyzer, whereas SAP Data Quality Management is most compared with SAP Information Steward, SAP Data Services, Melissa Data Quality, Informatica Address Verification and Syniti Data Quality.

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We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.