Candid GuideStar vs. Informatica Cloud Data Quality

It is just my go-to for any information I need on a potential client as I work in the non-profit consulting space and need to better understand my prospects. As a former nonprofit exec, I valued what we could share on the site as a gold seal for others to learn about our worthiness to invest.

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

• Identifying information from funder 990s
• Gives credence to transparency claims

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.

• Most 990s are typically a few years behind.
• Organization profiles are only as complete as the organization makes them.

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.

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.

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

Any support I've ever had to get from them was quick and professional. Their online guides/help docs are also easy to read.

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

Has a suite of applications and components that we can integrate with Informatica Power center to deliver enterprise-strength data quality capabilities in a wide range of scenarios. Provides comprehensive and modular support for all data and all use cases whether in small or complex projects. Streamlined data discovery with a broad and deep lineup of enterprises.

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