Candid GuideStar vs. Informatica Cloud Data Quality

GuideStar Pro is well suited in two scenarios: when you want to demonstrate your organization's commitment to transparency (through the seals) and when you know what you're looking for when searching through 990s. Basically, if you can mine a 990 well, GuideStar Pro is perfect for you. If you are new to the grant-seeking industry and need more guidance/clearer information already mined for you, then GuideStar Pro is likely to be overwhelming.

Incentivized

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.

Incentivized

• Excellent data.
• Easy to use site to find what I need.
• Provides relevant data that is recent and not many years old.

Incentivized

• 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

• None - anything missing from GuideStar Pro can be found in FDO, also from Candid

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.

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.

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

I have not had any issues with GuideStar Pro where I needed personal support. They have helpful tutorials and overall the platform is very user friendly.

Incentivized

I have always used Guidestar as my go-to not only when I was a non-profit executive and wanted to ensure we remained worthy of their rating but also now as a non-profit consultant where I need to understand my current and potential partners across financials, key contacts, board members, etc.

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

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

Incentivized

• More informed grant proposals.
• Able to easily and efficiently complete grant research.

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