Melissa Data Quality vs SAP Data Quality Management comparison

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Melissa Logo
619 views|343 comparisons
95% willing to recommend
SAP Logo
1,019 views|872 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Melissa Data Quality vs. SAP Data Quality Management Report (Updated: May 2024).
772,679 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
"It gives me an assessed value of the property in question. My partner and I are property investors, and it's good to get an assessed value to cull out properties that we're not interested in.""​Ability to keep our data set clean and usable for our community searches.​""We like having the ability to write our own utilities/software to process our records and store the final output the way we want.""The high value in this tool is its relatively low cost, ease of use, tight integration with SSIS, superior performance (compared to competitors), and attribute-level advanced survivor-ship logic.""It saves a huge amount of time. Before using this service, we used a vendor that manually ran our lists through this NCOA list, which might have taken one to three business days to return the file. This was a huge bottleneck in our process, and the data returned was not always accurate. After switching to Melissa Data’s SmartMover, the process has been reduced to between ten minutes and three hours, depending on the amount of records sent.""​​Allows us to delete and correct incorrect data to make the searching of our applicant tracking system more consistent and relevant.​​""By using Melissa Data, we are able to scrub and verify, then better validate the end customer's address to ensure a more consistent delivery of products.""Gives us the ability to offer an additional resource that other companies do not."

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"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.""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."

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Cons
"The billing structure does not seem very accurate. We’ve had issues with miscounted batch records processed""Many issues, sometimes I have to completely log out and start over.""It would be nice if it also had a user interface, as it did in years past.""We are no longer using Melissa Data to clean up our address information as there are free tools that we can use to do the same thing.""Needs more/better search tools are needed. Also, state and local tax data would be nice.""Speed of delivery/ease of use. They advertise a 24-hour, next business day turn time on data annotation, but I’ve found it is usually closer to 72 hours. This is still excellent, just make sure you add in the appropriate fluff to your delivery timelines.""There are some companies out there using Google or other sources to check / confirm if addresses are residential. If Melissa is not doing this, that could be an improvement.""Pricing is based on tiers, with each tier capped at a specified number of records processed. Once you go over the cap at one tier, you are automatically bumped to the next tier. However, they seem to count failed batch processes so it’s good to keep track of the number of records sent. They’ll fix the count when notified, but their system fails to detect actual successful processes versus failed processes."

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"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.""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."

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Pricing and Cost Advice
  • "It's affordable."
  • "The price for address validation is similar in all software. However, the price for geocoding decides the actual pricing. If you get their most accurate geocoding (called GeoPoints), then it will add about $10k+ per million requests."
  • "They were willing to work with our preferred vendors, though it involved extra steps to get the license."
  • "Depends on situation. We prefer to have data onsite, but some might prefer web access."
  • "Melissa pricing is competitive."
  • "Pricing is very reasonable."
  • "I think it's worth the value for me to run it."
  • "Generally, the cost is ROI positive, depending on your shipping volume."
  • More Melissa Data Quality Pricing and Cost Advice →

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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
    9th
    out of 44 in Data Quality
    Views
    619
    Comparisons
    343
    Reviews
    1
    Average Words per Review
    2,004
    Rating
    9.0
    5th
    out of 44 in Data Quality
    Views
    1,019
    Comparisons
    872
    Reviews
    1
    Average Words per Review
    813
    Rating
    9.0
    Comparisons
    Also Known As
    SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
    Learn More
    Overview

    Data Quality Components for SSIS

    This suite of data transformations for Microsoft SQL Server Integration Services (SSIS) delivers the full spectrum of data quality including data profiling, data verification, data enrichment and data matching. With an intuitive interface and drag/drop capabilities, this powerful toolkit makes it easy to unify data into a single version of the truth for Master Data Management (MDM) success.

    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
    Boeing Co., FedEx, Ford Motor Co, Hewlett Packard, Meade-Johnson, Microsoft, Panasonic, Proctor & Gamble, SAAB Cars USA, Sony, Walt Disney, Weight Watchers, and Intel.
    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
    REVIEWERS
    Healthcare Company16%
    Retailer11%
    Financial Services Firm11%
    Government11%
    VISITORS READING REVIEWS
    Manufacturing Company13%
    Computer Software Company12%
    Financial Services Firm11%
    Government10%
    VISITORS READING REVIEWS
    Manufacturing Company15%
    Energy/Utilities Company11%
    Computer Software Company11%
    Financial Services Firm11%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise10%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise17%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise72%
    Buyer's Guide
    Melissa Data Quality vs. SAP Data Quality Management
    May 2024
    Find out what your peers are saying about Melissa Data Quality vs. SAP Data Quality Management and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Melissa Data Quality is ranked 9th in Data Quality with 40 reviews while SAP Data Quality Management is ranked 5th in Data Quality with 2 reviews. Melissa Data Quality is rated 8.4, while SAP Data Quality Management is rated 8.6. The top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". On the other hand, the top reviewer of SAP Data Quality Management writes "Scalable, stable, and offers good technical support". Melissa Data Quality is most compared with Informatica Address Verification, Precisely Trillium and Experian Data Quality, whereas SAP Data Quality Management is most compared with SAP Data Services, SAP Information Steward, Informatica Data Quality and Informatica Address Verification. See our Melissa Data Quality vs. SAP Data Quality Management report.

    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.