IBM Infosphere Information Analyzer vs SAP Data Quality Management comparison

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Executive Summary

We performed a comparison between IBM Infosphere Information Analyzer 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: April 2024).
768,578 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"What's most useful in IBM Infosphere Information Analyzer is you can access it from anywhere. It's also pretty easy to learn, so even non-technical business people use it and found the solution easy to learn.""You can also schedule and run data quality on the critical data elements on the databases."

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"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 important for our products.""Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product."

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Cons
"What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources.""The solution is outdated and is not on cloud."

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"I would like for them to develop a feature to able to record all of our inspections; so all the data can go through SAP. It's not user-friendly or easy to get further analysis, so we mostly skip this step.""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 methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management."

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Pricing and Cost Advice
  • "For the licensing cost of IBM Infosphere Information Analyzer, I have no information on the exact cost, but as it's bundled with other IBM products such as IBM InfoSphere Information Governance Catalog and IBM InfoSphere DataStage, the bundle is expensive when compared to competitor pricing."
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    Questions from the Community
    Top Answer:They have developed a new product called Watson Catalog, an upgrade from IBM Infosphere Information Analyzer. It is a cloud patch for data. The solution is outdated and is not on cloud. In addition… more »
    Top Answer:We use all the tools in their suite, and their data quality and governance are great. You can do data profiling and quality analysis with the IBM Infosphere Information Analyzer. You can also schedule… more »
    Top Answer:I rate the solution a four out of ten. The solution is useful and can do the job, but there are other new tools in the market today.
    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
    11th
    out of 56 in Data Quality
    Views
    750
    Comparisons
    277
    Reviews
    3
    Average Words per Review
    607
    Rating
    7.0
    5th
    out of 56 in Data Quality
    Views
    1,069
    Comparisons
    909
    Reviews
    1
    Average Words per Review
    813
    Rating
    9.0
    Comparisons
    Also Known As
    Information Analyzer
    SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
    Learn More
    Overview
    IBM Information Analyzer provides data quality assessment, data quality monitoring and data rule design and analysis capabilities. This software helps you derive more meaning from your enterprise data, reduces the risk of proliferating incorrect information, facilitates the delivery of trusted content, and helps to lower data integration costs.
    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
    Integra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF
    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
    VISITORS READING REVIEWS
    Financial Services Firm32%
    Insurance Company12%
    Computer Software Company9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Manufacturing Company16%
    Energy/Utilities Company11%
    Financial Services Firm11%
    Computer Software Company11%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise6%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise72%
    Buyer's Guide
    Data Quality
    April 2024
    Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality. Updated: April 2024.
    768,578 professionals have used our research since 2012.

    IBM Infosphere Information Analyzer is ranked 11th in Data Quality with 6 reviews while SAP Data Quality Management is ranked 5th in Data Quality with 2 reviews. IBM Infosphere Information Analyzer is rated 7.6, while SAP Data Quality Management is rated 8.6. The top reviewer of IBM Infosphere Information Analyzer writes "Accessible from anywhere and easy to learn even for non-technical users, but needs more connectors and faster issue resolution from technical support". On the other hand, the top reviewer of SAP Data Quality Management writes "Scalable, stable, and offers good technical support". IBM Infosphere Information Analyzer is most compared with Informatica Data Quality, IBM QualityStage, SAP Data Services and Innovative Systems iLytics Enterprise Data Quality, whereas SAP Data Quality Management is most compared with SAP Data Services, SAP Information Steward, Melissa Data Quality, Informatica Address Verification and Informatica Data Quality.

    See our list of best Data Quality vendors.

    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.