Informatica Cloud Data Quality vs. ZoomInfo Operations

Helps to increase productivity, optimize costs, and democratize data across multiple cloud environments with cloud ETL and ELT. Capacity to integrate data sources at scale and with ease. Has cloud data integration capabilities that cover diverse sets of patterns, use cases, and users ensuring we have well-architected and seamless automated data pipelines.

Incentivized

The application is one that I would highly recommend for your sales team as they are able to seek out information that they would not normally be able to obtain through something like Salesforce or other applications. ZoomInfo for sure is the leader in my opinion in this area and I love the releases and additional features that they are always releasing.

Incentivized

• The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
• The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
• The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.

• 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).

Incentivized

• 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.

• 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.

Incentivized

As pointed out earlier, due all the robust features IDQ has, our use f the product is successful and stable. IDQ is being used in multiple sources (from CRM application and in batch mode). As this is an iterative process, we are looking to improve our system efficiency using IDQ.

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.

Incentivized

Easy to use not only for developers but also business users

Incentivized

The rating is simply because the tutorials can be made a lot more interactive. The tutorials are of such a level that it gets boring to a point. Also, another suggestion would be to incorporate pop-up help menus which would I believe help out immensely as well in case of improvement of usage for beginners.

Incentivized

The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server

Incentivized

No problems

Incentivized

Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.

Incentivized

Had very good experience when using it

Incentivized

I’ve had one support request that was addressed and resolved within 30 minutes

Incentivized

It was helpful

Incentivized

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

Incentivized

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.

Incentivized

This has a similar issue to RingLead Capture, as it only returns the data that users themselves update, which is often outdated or incorrect. However, RingLead Route does allow lead assignment and tracking in more ways than LinkedIn Sales Navigator does, which is helpful in visibility of what a full sales team is doing.

Incentivized

Scalability works as expected and it is truly an enterprise system.

Incentivized

Hasn’t experienced any issues to doubt reliability

Incentivized

• 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

• I have just signed a $9M account with the help of this product.
• I've had to double-check information due to accuracy.
• More analysis is to be conducted about the team's ROI, as it is early in the process for my company.

Incentivized