DemandTools vs. IBM watsonx.data intelligence vs. Informatica Cloud Data Quality

DemandTools is perfect for any system that constantly adds new records to its database. For example, in higher education, we are constantly purchasing search names from various vendors and DemandTools allows us to make sure we are not doubling up on the same records. It saves us money in the long run as we are not mailing out multiple copies of our brochures to the same person.

The IBM Watson Knowledge Catalog is most well suited for large companies. With large companies storing data for a long amount of time, this can be helpful to allow all team members to find documents with ease. It would be less appropriate for storage that is deleted very often or does not needs to be saved for long amounts of time.

Incentivized

For effective data collaboration, systematic verification of customer information, and address, among others, Informatica Data Quality is a fruitful application to consider. Besides, Informatica Data Quality controls quality through a cleansing process, giving the company a professional outline of candid data profiling and reputable analytics. Finally, Informatica Data Quality allows the simplistic navigation of content, with a dashboard that supports predictability.

Incentivized

• PowerGrid can review and make the updates simultaneously.
• Single Table Dedupe makes merg[ing] the records easy and can make updates at the same time.
• BulkBackup [is] just one click, majority data got updated.
• Scenarios save a lot of time for similar working load.

Incentivized

• Data discovery.
• Technical Data Lineage.
• Business Data Lineage.
• Data .
• Multiple Data Catalog Management.
• Creation of Governance Rules.
• Data Masking.

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.

• I wish I could make changes to my existing scenarios using save rather than having to create a whole new scenario. Maybe you can, I just haven't been able to.
• Some features aren't user intuitive and it takes a while to learn.

Incentivized

• I think an industry-specific data catalog service will be good.
• Effective alignment of IBM consulting services and bringing in an Industry point of view will be great.
• Effective reach out like roadshows, etc. will be good.

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.

It's a great product. The only thing that holds us back is it was frustrating working with their sales team. We also don't like that when Validity purchased DemandTools they immediately started charging us quite a bit while it had been free for non-profit users when CRMFusion owned it. They also don't let you buy it for just 1 or 2 seats, you have to pay, I believe, in batches of 100 seats.

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.

Allows for control in uploading lists, saved processes for checking duplicate records.

Allows for backup files and quick reverts if something goes wrong.

Extends reporting when Salesforce.com cannot support specific pieces of info being put together in a report.

Automated processes for set and forget hygiene tasks

It is very easy to use and very intuitive Es muy sencilla de utilizar y muy intuitiva

Incentivized

Easy to use not only for developers but also business users

Incentivized

There has not been a time since I started 9 months ago that I've encountered any kind of downtime.

Incentivized

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

Incentivized

DemandTools is a bit clunky and slow at times

Incentivized

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

Incentivized

Support can be slow so do not expect quick turn for urgent issues.
Help for specific queries not not there. Product tech support is offered. It would be great if query support, even if paid, was offered
The training webinars help with the basics but not much if you need advanced functionality.

The trainings are free live webinars that give you a solid base for getting started with the program. The only weakness is they don't have any advanced classes.

I had just started using Salesforce about 3 months before I did the implementation myself, and it was easy to do just following their step-by-step instructions.

Though RingLead has much more to offer in terms of automation (and it is in Salesforce rather than a separate program), DemandTools still has our heart. DemandTools is very cost-friendly and we were able to increase the value of DemandTools by programming in additional saved scenarios. I decreased admin time in the DemandTools suite by approximately 25% after implementing saved scenarios for every reoccurring update or list upload.

Incentivized

The IBM Watson Knowledge Catalog is a great amount of storage for the price. It is easily accessed by all users in the company. It provides great search features and clear pathways to locate documents. This is great for the team and our client when needing access to a specific document.

Incentivized

IDQ is used by a department at my organisation to ensure and enhance the data quality.
The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, streets, product descriptions.
In the past we had issues mainly with duplicate customers and products and this were affecting the sales projection and estimates.

It's done everything we've needed it to do.

Incentivized

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

Incentivized

• It is a tremendous time saver. It does things Salesforce doesn't even have the capability to do. Tasks that would take hours to manually complete.
• We can process a tremendous amount of data daily through one person, vs. weeks for the data to be cleaned, reviewed, routed and input.
• Saves on headcount by allowing a dedicated user to set up batches and jobs for other teams to ensure their data integrity.
• The return on investment isn't easily quantifiable but it is FELT in our department.

Incentivized

• The negative note: is that it needs to have a very secure cloud infrastructure and with its data well defined for integration with other databases.
• The positive point: allows for quick data discoveries aiding a quick implementation of privacy programs.

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