Informatica Cloud Data Quality vs. Stibo Systems Multidomain MDM

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

Stibo Systems is a solution for companies with spare data to start doing Business Intelligence Analysis and forecasts. Several micro-operations of the companies are still managed by worksheets like Excel on desktops and sometimes on the cloud like Google Sheets. For these scenarios, the industries need to integrate this "outside of the system" data to analyze it. I recommend that Stibo Systems load all the worksheets to avoid losing data. Stibo needs improvement in Business Intelligence and Machine Learning.

• 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.

• Asset management
• Data sharing
• Page production

• 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.

• PDX which is newly launched and it looks very messy with so many configurations
• Digital asset handilng is still lacking features depth
• Product license is very expensive

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.

Easy to use not only for developers but also business users

Incentivized

It's a very powerful tool but made for the more IT focused user vs. a typical business user. Our team has knowledge of both sides but if we were to provide this to another internal team such as marketing or product, it would be a challenge due to functionality not being available in both their web app (user friendly) and workbench (backend focused)

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

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.

Stibo has an easy-to-use API to use as DATA as a Service. I like SAP Master Data Governance, but I think Stibo has more specialization in integrating the relationships among the data tables. And then expose this data in the web API as a service. Stipo has documentation of cases for Retail and Logistics and how to integrate this spare data.

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

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

• Since I have this program I can safely say that our customers feel more comfortable in each of the business processes and relationships with our company.
• Stibo Systems Multidomain MDM is a great help that gives its users agility to manage and manipulate all their master data, this program is a total guarantee.

Incentivized