Informatica Cloud Data Quality vs. ZoomInfo Operations

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica Cloud Data Quality
Score 6.0 out of 10
N/A
The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.N/A
ZoomInfo Operations
Score 8.4 out of 10
N/A
ZoomInfo OperationsOS/RingLead is a comprehensive data quality management platform for sales and marketing operations teams to clean, enrich, and route their go-to-market data.N/A
Pricing
Informatica Cloud Data QualityZoomInfo Operations
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica Cloud Data QualityZoomInfo Operations
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeRequired
Additional Details
More Pricing Information
Community Pulse
Informatica Cloud Data QualityZoomInfo Operations
Features
Informatica Cloud Data QualityZoomInfo Operations
Data Quality
Comparison of Data Quality features of Product A and Product B
Informatica Cloud Data Quality
8.9
Ratings
2% above category average
ZoomInfo Operations
8.2
Ratings
6% below category average
Data source connectivity9.30 Ratings8.20 Ratings
Data profiling9.20 Ratings8.80 Ratings
Master data management (MDM) integration8.90 Ratings00 Ratings
Data element standardization8.20 Ratings7.80 Ratings
Match and merge8.70 Ratings8.60 Ratings
Address verification9.00 Ratings7.40 Ratings
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Informatica Cloud Data QualityZoomInfo Operations
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Score 7.8 out of 10
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Medium-sized Companies
IBM InfoSphere Information Server
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Score 8.0 out of 10
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Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
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User Ratings
Informatica Cloud Data QualityZoomInfo Operations
Likelihood to Recommend
9.2
(0 ratings)
9.0
(0 ratings)
Likelihood to Renew
6.6
(0 ratings)
8.2
(0 ratings)
Usability
8.0
(0 ratings)
9.0
(0 ratings)
Availability
9.0
(0 ratings)
9.1
(0 ratings)
Performance
9.0
(0 ratings)
9.1
(0 ratings)
Support Rating
-
(0 ratings)
8.5
(0 ratings)
Online Training
10.0
(0 ratings)
9.1
(0 ratings)
Implementation Rating
10.0
(0 ratings)
10.0
(0 ratings)
Configurability
-
(0 ratings)
9.1
(0 ratings)
Ease of integration
-
(0 ratings)
9.1
(0 ratings)
Product Scalability
9.0
(0 ratings)
9.1
(0 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(0 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(0 ratings)
User Testimonials
Informatica Cloud Data QualityZoomInfo Operations
Likelihood to Recommend
We used Informatica Data Quality to measure the "Data Quality Score" of internal and external reports at my company. Business users set up data profiling and prepared detailed analysis documents for business analysts. and developers developed Data Quality Mapplets for other IT teams to import their Informatica Power Center repositories. Results are stored in a centralized data quality space and then reported and summarized to related business users in detailed ways. At the end of each project, we are now able to place a "Data Quality Score" watermark score on each report involved.
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The contact enrichment feature adds missing contact info, like emails or phone numbers. It also allows us to confirm that the address information on our CRM matches what Zoom says. I wish more emails were available within the service, but what you can glean from Zoom makes marketing to the correct personas much easier.
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Pros
  • Watch the data real time- After creating the job the data quality engine checks and run the custom rules creating a navigation window at the bottom for review and accessing the data right away.
  • Character Set Mapping
  • Makes sense of our own data, which in turn gives us confidence that we can provide to the end users. IDQ helped us with erroneous data in accounting and HR for accurate and immaculate reports
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  • EverString allows us to build account lists based off in-depth firmographic or technographic data. It's far more accurate than trying to build these lists any other way.
  • EverString is fast. Where it might've previously taken us weeks to build lists of this quality, we now can build them in a matter of minutes (and have them ready to be published in a couple of hours).
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Cons
  • Several partnerships diminishing the value of technologies
  • Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
  • Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.
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  • Contacts underneath Companies can be outdated by 4+ years (left employer years prior).
  • Customer support is not as engaged as a smaller software company might be. Delays in solving issues.
  • Limits in sharing lists, queries, and tags between users under the same account.
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Likelihood to Renew
I gave a rating of 8 due to the fact that we use Informatica for both our data quality product and ETL product. Having both integrated makes it so much easier. Microsoft had a similar product of finding duplicates, but at the time it didn't seem mature enough. The usability also in IDQ was pretty easy to navigate and use.
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Would love to keep everstring as part of our tech stack in the future. if we ever have to move from everstring it will be due to budget not the solution itself.
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Usability
Easy to use not only for developers but also business users
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Usability is among the highest I have ever worked within an application of this magnitude. It was a significant recession for us and our sales team along with some of our onboarding folks have been able to use the tool as well. Other are able to benefit as well that are outside of the sales team but I do get as much of their feedback as I do from the sales team.
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Reliability and Availability
The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server
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No problems
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Performance
Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
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Had very good experience when using it
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Support Rating
No answers on this topic
Quick response and quick resolution.
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Online Training
No answers on this topic
It was helpful
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Implementation Rating
No answers on this topic
Have a plan on how you're going to evaluate. We had a two-month trial period, but a six-month average lead cycle time, making it impossible to evaluate on a purely new-business ROI basis within the trial. We applied the model to our prior data, which demonstrated how much time and effort was devoted to accounts that weren't going to close
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Alternatives Considered
Informatica Data Quality has a wide range of cleansing features, that are detailed, professional, and accurate in scaling down the required database. Further, Informatica Data Quality ensures there is proper collaboration, and this fosters businesses to have the freedom of working closely with several programs. Finally, Informatica Data Quality design is authentic and allows personalization.
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I haven't tried stacking it against any competition as I feel no need to. ZoomInfo blows me away like it first did in 2018, and I don't want something different. I hear Clay is good, but I just haven't felt the need to try it out or replace ZoomInfo at all.
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Scalability
Scalability works as expected and it is truly an enterprise system.
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Hasn’t experienced any issues to doubt reliability
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Return on Investment
  • Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
  • Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
  • Employee efficiency is increased exponentially due to more automated, customized tool
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  • The rate we close prospects run through Zoom products is up 10% on average
  • The time to close a prospect has been reduced by one calendar week (about 5%)
  • The time spent reviewing prospects has shrunk from 1-2 hours a week to 5-10 minutes which is HUGE.
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