Informatica Intelligent Data Management Cloud (IDMC) Reviews

Informatica MDM is used for customer affiliations and sites and hierarchy management.

Informatica MDM has helped our organization because we now work from a harmonized single record for customers and patients. We're able to have an aggregation or hierarchy view, which drives a whole variety of things, such as data quality and data reliability.

The most valuable feature of Informatica MDM is hierarchy management. It's not something that's typically available and effective within ERPs.

Informatica MDM can improve the data catalog and data marketplace.

Informatica MDM is expanding in AI by making it much more efficient and automated stewardship-related work. I'd like to see that accelerated and made available for on-premise.

I have been using Informatica MDM for approximately four years.

The stability of Informatica MDM is good.

Informatica MDM is scalable.

We have approximately 100 people using this solution in my company and their roles vary. For example, we have stewards, data analysts, platform administrators, architects, developers, and support teams. The active users are primarily stewards and data analysts.

We rate Informatica MDM support on an annual basis and we have quarterly executive business reviews where we discuss support issues.

Positive

We previously used SAP for MDM. We switched because there were new use cases that SAP couldn't meet. 

The initial setup of Informatica MDM is more complex than it should be.

We used a third party for the implementation of Informatica MDM.

We have approximately 20 people that do the maintenance and support of the solution. This includes support admin teams and architect engineers. We have a BA for each of the domains, shared architecture, shared engineers, ETL, and MDM. Additionally, we rely heavily on third-party assistance.

We have seen an ROI in duplicate data management, visibility to market share, and reduction in risk.

I rate the licensing cost of Informatica MDM a five out of ten.

We did go through a solution selection and RFP process before we chose Informatica MDM.

My advice to others is for them to look at SaaS and cloud options first.

I rate Informatica MDM a seven out of ten.

Informatica MDM has a lot coming ahead from a solution standpoint, which is a benefit for them. However, there's a lot of configuration involved to keep the solution going and this is why I would encourage a SaaS solution for anyone coming in.

Data Quality involves quality checks and data profiling. It scans through the data, providing metrics like the number of nulls and unique values. Informatica Data Quality profiles the data.

In my experience, I've specifically worked with a feature called ARS Doctor, which is part of IDQ (Informatica Data Quality). So, in my earlier project, the core functionality of ARS Doctor revolved around address information sourced from the USPS postal service. It does validate the data. This is crucial because customer addresses often contain diverse writing errors. Given the presence of multiple applications, addresses can be inputted or tagged across various systems or enter their address data differently, yet it needs to conform to a standardized format. 

Therefore, each address, even if inputted from distinct systems, undergoes validation to match a single, customizable format. We also have customized settings for these validations.

There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny.

I possess extensive hands-on experience and expertise in Informatica.

I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset compliance in various scenarios.

In terms of scalability, you see, it is on the cloud environment, which itself gives the scalable, and flexibility in terms of accommodation of the data. So if we want to scan across the data for the quality and checks, like, not on any sample data. We really want to do this profiling on the checks on a lot of data. So it is very much visible in the cloud environment, which is cloud storage, which is provided by AWS or Azure, or GCP.

Based on my experience and involvement in reported discussions throughout my career, I would definitely give their customer service a high rating. We receive excellent support from Informatica's team, especially during activities like upgrades and other related tasks. 

Positive

When it comes to the initial setup, particularly in a cloud environment, it's primarily license-based. There are various features available, each catering to different needs. The platform can establish connections with various systems based on the connectors it offers. These connectors facilitate integration with different environments. 

When it comes to data quality, it is a license-based model. So, if you procure the necessary licenses, you gain access to the relevant options. It's all about tailoring the solution to the specific requirements of the project.

If the goal is to perform quality checks separately, there's the option to employ dedicated products for that purpose. Alternatively, data quality checks can be integrated into the data integration process. Naturally, data integration involves elements of reconciliation, verification, and quality assessment. The chosen approach hinges on factors such as data volume and the complexity of requirements. If these factors increase, the option to select different products designed for specific tasks becomes viable and can be explored further.

Overall, I would rate the solution a seven out of ten. 

The solution gives us the visual features on how the quality is because back in few years or back some time ago. So it was, like, always a kind of hidden thing because, as a part of the data governance, we do have a lot of data dumped in the data warehouse. But relaying we have been just relying on the data warehouse. So we didn't know, like, it is really giving us the powerful insight, or it is really giving our quality data because it could be junk or anything. So, in that case, at least this solution definitely gives us the strength with the visualization part, which gives us, "Okay, these are the different types of data it exists and data. These are the different qualities where it can improve the quality." 

The solution is robust. We can connect with quality analysis tools for summarizing the data as well. It has all the essential features.

The solution's cloud-based version has a few limitations compared to its on-premise version.

I have been using the solution for eight years.

The solution is highly stable. We never had any issues with the cloud version. I rate its scalability a ten out of ten.

The solution is highly scalable. I rate its pricing an eight or nine out of ten.

The solution's technical support team is well-skilled.

Positive

The solution's initial setup is straightforward. I rate the process a ten out of ten. It takes a little time to deploy and requires minimal staff.

Our vendor manages the solution's implementation.

Our clients evaluated Profisee and Precisely before. Comparatively, Informatica provides better integration with quality analysis, data governance, and data integration tools.

I advise others to know their company's requirements before implementing the solution. I rate it an eight out of ten.

We use Informatica Axon for MDM purposes.

The most valuable feature of Informatica Axon is that it is flexible and user-friendly.

Informatica Axon needs more integration connectors so that it can connect to systems and different kinds of datasets.

I have been using Informatica Axon for two years.

I rate Informatica Axon an eight out of ten for stability.

Ten engineers are using Informatica Axon in our organization. I rate Informatica Axon an eight out of ten for scalability.

Informatica Axon's installation, configuration, and user access take two to three days.

Informatica Axon eliminates all MDM-related problems quickly.

Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing.

I am using the latest version of Informatica Axon. I recommend Informatica Axon to users as it is a good and flexible tool that gets the work done.

Overall, I rate Informatica Axon a seven out of ten.

The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation. 

One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises.  

I have worked with Informatica Data Quality for the past four and a half years.

You have excellent stability in the market in comparison to other data solutions.

We find that scalability is not an issue and have installed it on fourteen servers.

I have a lot of issues with their customer support and not getting the required technical information, which we actually need unless you can do a call with their senior technicians. Most of the cases that you raise are assigned to a junior technician. 

Positive

The initial setup is simple for a person who knows the company. If you already have one of their products you will find yourself comfortable doing the deployment. If you do not have experience with the company it is medium in relationship to complexity. 

I would continue to encourage the upgrades that are taking place every other one in order to release the new and relevant features. I would rate Informatica Data Quality an eight out of ten.

We don't use profiling as much, however, we do use it, in certain cases, for profiling. We use the Analyst tool to do out-of-box, high-level profiling of data to see high-level quality of completeness, and uniqueness, et cetera. Mainly, we use the Developer tool to connect to the sources and to write data quality rules.

It has improved our organization. 

We started from just pretty much having flat files, and then doing some basic transformations, then writing back to Excel or QFD files. 

We gradually moved to more analytical tasks. You don't just do statistical data quality you also do analytical. You do lots of joins with other sources and do the consistency checks, and to do more complex logic, and build metrics. 

We use Tableau on the back of it to present the data and data quality, and then monitor it. We use it more like a batch process to build pipelines, and then, using Tableau, monitor the results of it and those metrics. Now, we work more with live updates and do that more than the batch.

It's probably one of the leading lights in ETL. They have really good built-in functionalities, or algorithms, that you can use to transform or process data and validate and standardize.

The solution is stable.

It's not too had to set up the cloud version. 

Support is helpful and responsive. 

We are in this transition mode, where we haven't yet got IDMC, the cloud version, so we don't actually have hands-on experience and have not actually seen the features. All we rely on, at the moment, is just the available documentation. What I don't like on the IDQ side is just the fact that in the on-premises version, you have all these applications, with separate configurations. In the cloud solution, it is fixed so that you have everything on one platform.

The performance isn't as good on-premises. For example, when you install clients, it's slow compared to the cloud. Still, we need to see. We haven't experienced it ourselves. 

The upgrades are a downside. On-premises you manage all the changes in the software. You have to do that yourself, and if there's some problem with compatibility, it makes things that much harder. With the cloud, everything is managed by Informatica on the servers.

Managing the licenses with the on-premises version was difficult. However, with the cloud, it will be much simpler. 

I've been using the solution for the last six or seven years. 

Once you set everything up, it is pretty stable. It's reliable. There are no bugs or glitches and it doesn't crash or freeze. It is way more stable than Hadoop and other applications. 

In terms of scaling, we used the clusters, and the processing was on Hadoop side. If we needed any extra space or any service, it was just managed there, so it was outside of Informatica.

Originally, we had 20 people using the solution, and then it was reduced to less than ten.

We do use it as much as we can for its purposes. In the past, we used that for the whole ETL process with data loads, and then we moved to Hadoop storage. At the moment, we are only going to be using Cloud Data Quality and others for cleansing, standardization, and deduplication, and then using some other Azure capabilities.

I've dealt with support in the past. There were issues, and we had to deal directly with Informatica for some hotfixes. They were good. They just got straight to the point and were helpful overall.

Positive

It is way more complex to install on-premises than in the cloud.

With the cloud, the installation will be way easier since you only install these secure agents. They have many different connectors, so it is definitely less hustle to install all these machines, and all these applications. On-premises, it was more user-based. Now, it's service-based, and you just pay for what you use and the licenses as well. 

We had myself, an architect, and a developer as well as help from Informatica while handling the setup.

We have about two or three people that can deploy and maintain the solution. They also cover other applications, not just Informatica.

We had Informatica support, and we had an internal group of people with Informatica knowledge who handled the solution. For some parts, we were involved as well, and we handled them ourselves. 

We're still in the early stages of moving toward the cloud. We have not seen an ROI yet.

When you are using the on-premises version, managing the licenses is quite difficult. However, on the cloud, you just pay for what you use, and it's a lot easier. With the cloud, if you want MDM, you pay for it, and if you want PowerCenter, you pay for it; however, if you don't want it or don't use it, you don't pay. We'll just pay for Data Quality, as it has all of the features we need inside it. 

I'm not involved in the conversations around licensing and agreements. That said, my understanding is that Informatica is pretty expensive. I'd likely rate it two to two and a half out of five in terms of affordability.

We definitely considered others and had StreamSets used for some other purposes. The company that I moved out of was going to be switching off Informatica at some point due to licensing, et cetera, and they just chose to go to StreamSets with Snowflake for storage. 

I haven't researched enough about other products in relation to Informatica.

We are moving to the cloud version. On-premises, we were on version 10.4.2, and that moved to 10.5. Soon, we will be on the cloud.

We're using IDMC, which is not just Data Quality. It has governance, Axon, and other applications in it.

We're just a customer.

I'd advise people to research use cases before beginning. Companies need to understand what they are trying to achieve, figure out their requirements, and then appraise the solution. 

While Informatica is good in terms of Data Quality and is probably the leading option, you need to be clear about budget, et cetera.

I would rate the solution seven out of ten.

Primary use case is generally for product items and demonstration. 

I like that Informatica MDM doesn't require a separate IDQ. In the IBM InfoSphere, we need exclusive data quality to identify the issues in the source system. But if you use Informatica MDM, that's not the case. The MDM itself identifies the issues and we can use the data quality tools and the score card. It's good compared to other tools. Troubleshooting is very easy and I believe performance is better than any other tool. It solves any complex queries you can connect, any complex route, any complex mappings, you can do it all with Informatica MDM.

I'd like the ability to directly connect from MDM to any of the analytical tools. It's a feature that would be very helpful for analytical reporting. When you connect to the cloud, there are multi-cloud technologies that will have some problem and when you connect from on-prem to cloud, there are more data latency issues than with other tools. The product is more expensive than other similar solutions. 

I have six years of experience with Informatica. 

It is a stable product compared to other MDM products. Other solutions like Oracle CLM and CDH are similar tools but they're not great when compared to Informatica MDM. Of course, it is very stable compared to any other MDM products.

The solution is scalable but when you do the design, you have to know what the data load will be and the number of concurrent users. Based on that you have to design the infrastructure and measure capacity. 

I've implemented this solution in three or four different projects.

I rate this solution a nine out of 10. 

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.