D&B Connect vs. IBM InfoSphere Information Server vs. Informatica Cloud Data Quality

Overall, the program can assist any size company with all credit
reference needs. We have not run into any issues other than the overall
cost of the program and the fact that you have to use additional funds
to seek information on international customers.

Incentivized

Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.

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

• Searching people who have the intent to buy your services or products.
• It has as very good filter that helps pinpoint your targeted audience.
• It has a large pool of contacts within the company, so helps to reach out to the right person via several connections.
• The data available is fresh and current.

Incentivized

• IIS best for ETL ,not ELT , and many and diffrent source systems.
• It also can process big data , unstuctured data
• It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems

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.

• in my opinion having to split usage between United States and International does not make sense on why this needs to be done....recommend eliminating this
• need for improvement on error resolution....when an error is found the D&B resolution team is EXTREMELY difficult to work with...very clunky and automated when there is a need for personnal interaction

Incentivized

• I would be nice to have a new web development environment for DataStage.
• Connectivity Packs such as Pack for SAP Application are a little pricey.
• It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.

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.

Great tool

Incentivized

• Scale of implementation
• IBM techsupport

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.

For more advanced uses, it's hard to get it functioning properly right out of the box. It definitely takes some fiddling to get the systems up and running, especially if you have multiple streams of data that need to be managed across systems.

Incentivized

Easy to use not only for developers but also business users

Incentivized

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

Incentivized

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

Incentivized

Great Support

Incentivized

Very Satisfied

Incentivized

Not at the top, but pretty good compared to others. The price and overall usability of the solution would put it in the top 5 options from what I have used. If D&B can make more updates and improvements, then there is potential to be better in the near future.

Incentivized

DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS

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.

slightly on the higher side but worth it.

Incentivized

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

Incentivized

• ROI can be achieved anywhere between 6 to 12 months depending upon your business.
• The product is expensive but the data provided is good to an extent and a big sale can help achieve your ROI.
• The data accuracy sometimes can be bad leading to bad domain reputation.

Incentivized

• Productivity of the development of integration processes.
• Better documentation and governance.
• Reduce training costs of various technologies.

• 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