Informatica Intelligent Data Management Cloud (IDMC) Reviews

We use the solution for party data management. The tool ensures that the information is the same in every business system so that all the systems have the same view of what parties are involved in an agreement.

It is easy to create REST-based interfaces of the master data objects. It can be used for reading, creating, and modifying the master data objects of the parties, their addresses, and contact information. The creation and modification features always consider the data quality rules, and it is a very powerful way to provide a data interface to master data objects. It is missing in many other tools.

The solution meets the performance needs of my organization. There isn't much that Informatica doesn't do. The maintenance of the data quality rules has been improved. It’s a lot better than it was when we started. Replacing the old SOAP APIs with the new REST APIs is a great improvement. It’s still a work in progress. Some interfaces still use the old SOAP APIs.

The management of different properties is sometimes divided between different user interfaces. The tool should provide a unified user interface to manage the data objects.

I have been working with the tool for ten years.

The tool can scale according to our needs.

The initial setup was not difficult. We had very good support from Informatica’s professional services.

The team was a mix of in-house, vendor and other consultants.

The product has a high price point. However, it does not lack features. TIBCO EBX and Profisee are much cheaper. However, they lack features that Informatica MDM provides out of the box. Though the list price of Informatica MDM is high, it is negotiable.

I do not have experience with the new workflow engine. It is much more extensible because it is a full business process engine. Overall, I rate the product a nine out of ten.

We use the product to define policies and for data discovery management.

It is complicated to establish the lineage in EDC using PowerCenter mappings. We have to do the process manually every time. This particular area needs improvement.

We have been using Informatica Axon for five years.

It is a stable platform. However, we need to raise the ticket even for the smaller issues. There needs to be proper documentation available. They should provide enough information.

We have eight to ten customers for Informatica Axon. It is a scalable product.

The technical support team takes time to complete the debugging process.

The initial setup process is fine, but there are a lot of infrastructure issues. It includes errors on the node cluster for EDC. Deployment is easy, but debugging is time-consuming. Whenever we raise the ticket to the support team, they take two to three days to evaluate the issue.

The licensing price of the product depends on the organization's requirements. It is less costly than Collibra.

I recommend Informatica Axon to others and rate it a seven out of ten.

We use this solution primarily for core master data management and deduplication.

Recently, they have come up with cloud versions, which I have not experienced. It's mostly deployed on-premise.

We have a limited number of users who are using this solution and working with the master data.

Initially, there wasn't a great product competing with Informatica for market management. It has been leading the market with hierarchy management and all the different match concepts and algorithms. They're very robust.

Informatica's issue is the licensing. Right now, there are a lot of new gen MDMs that are offering a lot in a single licensing model. VOS or Entity 360 are offering licensing differently.

I have been working with this solution for more than 10 years.

It's stable and reliable.

It's scalable.

I have had mixed experience with technical support. Sometimes it's very quick. Sometimes there isn't a quick turnaround and we don't have a person to reach out to directly to get an answer from them.

Installation was challenging. Informatica has a very robust engine, which takes a little bit of time, but they're stable.

We have a technical team of 50 people. Deployment depends on
the size and complexity of the requirements. Starting from scratch, any new implementation should take around five to six months. For new gen MDMs, the implementation can be done in three and a half months.

The ROI depends on the business requirement. If they're using their core master data and that data is helping them to address a lot of issues, then the return on investment is definitely very high. If an organization isn't using that to full scale, then it might not be that great.

It's offers value for money. They're more competitive with respect to pricing and offerings.

The organizations I work with often have trouble getting buy-in from business users and understanding how data governance relates to them or where the data lineage is. We use Axon in two key areas. 

The first is automating data governance processes, policies, and roles in terms of data stewards, data owners, etc. Those process flow charts are typically stored in a PowerPoint, Excel, or board document. Everyone involved in data governance would have to send emails manually and such. Axon allows them to automate all that. So if there's a data owner that needs to update a definition, a request that needs to be flagged, or a data quality error, all that is embedded into the Axon system. That's one reason our clients go with it. 

The use case is embedding the data or the business glossary into the day-to-day workflow. For example, we could integrate it with Tableau. When people are looking at a Tableau report, they understand exactly what the data lineage is and where this data is coming from. They'll also know exactly what those business glossary terms mean, so they can more accurately interpret and analyze the report.

Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie. 

Users can comment on the data, tag people, and ask questions or rate the data one to five based on their experience, which helps eliminate data silos. You have all your information right there, and it's easier for future users to know which data to draw from.

The cloud version of Axon is far behind the on-prem, and many of my clients want to go fully to the cloud. However, Axon has to be an on-prem installation. I would like to see their cloud products catch up with their on-prem capabilities. 

I would like to see Informatica add more automation and AI. Some of that is already there, but it would be helpful to have some automation to speed up the process of manually tagging and moving components of your IT setup into your business glossary and the front end.

We started our first Axon implementation at one of our clients in the fall of 2021. Two of my other clients are about to purchase the technology and start using it.

Axon is stable. 

Axon is scalable.

Informatica support has been good. These data governance and metadata products are some of the newer products on the market technology-wise, so I've been impressed with their responsiveness and the tool's maturity.

Installing Axon is straightforward. If the cloud version were more robust it would be easier, but it's just fine for the on-prem solution. Two people should be enough to deploy and support it. 

I rate Informatica Axon nine out of 10. If you're planning to implement Axon, I recommend having an identified data governance lead. I think the most difficult part of implementing this is getting your people and processes aligned, so you know what you're putting into the system. Having a clear data governance manager is the most helpful data governance practice for an organization.

We would like to centralize all our product information systems. Currently, the product information is stored in various disparate systems, and we would like to bring it to a single place.

The staging and hierarchical features are the most valuable.

Its look and feel needs improvement. It has a lousy look and feel.

Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals.

I have been using Informatica PIM for almost two years.

It has 75% stability.

It has good scalability. Because of the cloud, we are able to expand it. Sometimes, we do run into issues, but it is mostly good.

We have around 250 to 300 users with IT, business, data governance, and DQ roles.

We haven't yet contacted them. 

We used an Oracle solution. We switched to Informatica PIM because of the licensing cost.

The initial setup was done by Informatica. We didn't face any issues.

We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry.

I would suggest to watch out. Informatica PIM is designed specifically for the retail industry. To use it for manufacturing, you need to think twice and make sure that it satisfies your business requirements. When you are asking for a free demo from Informatica, make sure that you tell your use case and ask them to configure it in a way that suits your business use case. Otherwise, it is not going to solve your problem. 

I would rate Informatica PIM a six out of ten.

I am not quite sure that the product will be part of our use cases anymore. We started off with it because of the data lineage. In other words, we used it because we also used the older Informatica program and it had been serving a purpose for us as a data management tool. But now we are in the process of developing our own solution for at least part of that functionality.  

We currently plan to keep Informatica MDM, but not for the complete handling of the data analytics. We use MDM for data gathering in big data environments. We start with Informatica and do further analysis outside the product.  

I think the most valuable part of Informatica is the flexibility in extending the data model. I think that is the biggest benefit. The data quality component is also an important part of it.  

I have begun to lose track of what needs to be improved because we only use the product now for what it is best at and in those areas it does not need improvement.  

There are two main things and that make up the complete Informatica suite solution. One is the insight into the data lineage which was a huge promise made by the product, but one that it never delivered in practice. That was the big problem that we are trying to solve in another way. The second part of the solution, especially for MDM is its ability to use the data by integrating with other process engines.  

So the insight into the data or the data analysis part needs to be improved.  

I have been using Informatica MDM (Master Data Management) for about two years now.  

Informatica has been stable. It does not have downtime during processing.  

I would say that Informatica is scalable. Right now we have about 20 people using the product directly. The scalability would be in the volume and types of data it can scan and collect and it is good at performing these services.  

With technical support, there is a big gap between sales, presales, and support for the end-users. Like with the data analysis the process starts good but in the end, there is no delivery. There are too many promises and too little delivery. So the support could be also improved after the sales, or I would say that the post-sale support should be improved to be in alignment with the pre-sale support.  

Informatica is definitely not easy to install. In order to do the installation and to set up the whole program, I would say it is complex.  

On a scale from one to ten (where one is the worst and ten is the best), if I were to rate Informatica MDM and I had a review site, I would mark it as a seven-and-a-half out of ten possible points. It has not delivered on all it has promised.  

Valuable features include:

• 360 degree view of customer data
• Data quality improvement through better decision making with respect to BI
• Analytics and reporting
• Improvement in he customer experience with better services provided to the application users
• Consistent support to the business through process standardization supported by effective Change Management and Data Governance

We had implemented it across leading Life Science domain. Clients looked to implement a MDM solution for Customer data, which will create a Golden Record from multiple source systems.

Single and consistent view of Customer Data arising from a centralized data set with unique customer records.

Customer data is a critical asset that must be managed within the enterprise.

An integrated Master Data Management solution is needed to enable a 360-degree view of its Customers and provide accurate and timely Customer information.

The ability to link customer information across HCPs (Healthcare Providers), managed markets, hospitals and institutional accounts enables an enhanced view of the customer.

I am looking forward to integration with leading data providers, such as DaaS in the Life Science domain.

I'm using Informatica MDM since 2012 in various version XUSP2,9.1,9.5.1,10.1 and 10.2

There were a few stability issues, but overall it is a stable product.

When it comes to scalability, it is the best product in the market.

I would give technical support a rating of 9/10.

I looked into other products in this segment, but we never implemented them.

The setup was pretty simple.

I would suggest to just go for it. It is the best MDM solution in the market.

Overall product management, flexibility, intuitiveness and governance.

Workflow & UI

2 Years

4/5

I used IBM PIM before, I switched because of customer centricity, enriched out of box product data management features in Informatica PIM.

Straightforward

Vendor team

Yes, STEP, Oracle PIM