Informatica Intelligent Data Management Cloud (IDMC) Reviews

It is used for our SharePoint data, and it is used for our financial data, so we prepare some kind of data lakes about data. And for a lot of financial things. For example, when somebody has to put the user, like, what we have in your organization. You have a user, and some joint venture partners are there. So, we use it for multiple financial master data. Basically, financial master data, we use it.

We are basically partners, IT partners because a lot of data is being used in multiple applications for Informatica. So, basically, we have partners. It's like Shell. So, it's an end user, but as well as a partner.

It's helpful in integration, and it can be moved around in SharePoint.  So, from the SharePoint View, data integration and reporting, it help a lot in that way.

The speed with which the data should be moved could be improved because of the firewall. It's becoming quite slow. And the integration with Teams or with Microsoft is not so smooth. So these are the areas of improvement. 

So, probably, they might even look for some upgrades or some changes over there. But these are the two key areas that we are facing issues with. One is the data moves a bit slow, and the integration within Microsoft products.

Maintenance is another issue that takes a lot of time and money. It can be a challenge in the long term.

I have been using this solution for six to seven years. 

It is stable, I would rate the stability a nine out of ten. 

I would rate the scalability a seven out of ten. Because of the maintenance issue, we want to scale it up, but we're not able to do so because of the maintenance issue and delayed response.

It breaks down quite often, and it takes time and money to get the issue fixed. These are challenges that need to be addressed from a global perspective, not just from my process.

The support from IBM might not be good, or the IBM people might have to contact Informatica for the solution. That could be a reason. But the resolution takes longer than expected.

There is room for improvement in the support. The response time could be faster. 

Neutral

It is easy to install because our laptops come pre-configured. There were no issues. However, it is not easy to maintain. 

We have a team that IBM handles for maintenance work. If there are issues, we raise a ticket, and they get sorted out, but it takes too long. It is not quick enough. The resolution takes more time than expected. 

We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics. This aligns with our company's initiative to implement a data lake strategy and drive digital transformation.

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

The use cases attached to Informatica MDM may vary for different industries. Suppose I talk about industries related to healthcare and life sciences. In the aforementioned scenario related to healthcare and life sciences, there have been situations where a lot of sales representatives have issues while trying to set up calls with different physicians. Informatica or any MDM solution usually helps people in the healthcare industry optimize their business processes, especially when setting up calls with different physicians. Typically, Informatica MDM helps to reduce the number of duplicate details related to a physician or the data related to a particular organization data so that the sales representatives don't end up sending duplicate call invites to the same physician, especially those physicians who have probably different versions of their own name.

I think the integration feature is probably one of the key features in Informatica MDM. When compared to other Indian products, Informatica MDM has an edge due to its integration capabilities.

I don't see any area of improvement required when it comes to Informatica MDM since it is one of the leading products in the market. Some unification in Informatica MDM's UI side would probably make it better. I find Reltio more intuitive when compared to Informatica MDM's UI. Informatica MDM's UI is not intuitive enough. Informatica MDM's UI can be made a bit more intuitive.

I think all the latest up-to-date features are made available in Informatica solution. When it comes to Informatica MDM, all the features are mostly included, because of which there is nothing that needs to be added.

The long response time taken by the technical team of Informatica can be considered for improvement.

I have experience with Informatica MDM. I currently work for a company that has an alliance partnership with Informatica. I use Informatica to develop MDM solutions for my company's clients. I work as a solution provider since my company wants its employees to work as middlemen for Informatica products. In my company, we use Informatica to build solutions for clients. I use the latest version of Informatica MDM.

Stability-wise, I rate the solution a ten out of ten.

It is a highly scalable solution. Scalability-wise, I rate the solution a nine out of ten.

If it is for a single region deployment, the number of users who use the solution can vary somewhere between ten to fifteen, but if it is for a global deployment, then there could be hundreds of users who would use the solution.

The solution is used on a daily basis in my organization.

If there is a super high-priority issue, then the technical team of Informatica is super responsive. However, if it is a low-priority issue, they usually take a little longer than their usual response time. I rate the technical support an eight out of ten.

Positive

When it comes to Informatica MDM, it is mostly a cloud or SaaS-based product, because of which the configuration or setup phases may not pose a challenge. Most of the MDM solutions are now SaaS-based products that the product vendor maintains, and so such products are mostly accessed through web URLs over the cloud. Right now, any configuration or setup is not challenging, which used to be the case several years ago when these solutions were deployed on an on-premises model, because of which installation and other such procedures were required. Currently, most products are SaaS-based solutions, so there are no such challenges with respect to setup.

I rate the initial setup phase of Informatica MDM as a nine on a scale of one to ten, where one is difficult, and ten is easy.

Predominantly, Informatica MDM gets deployed on a public cloud. There is a provision to go ahead with if any of our company's clients want the product to be deployed on a private cloud, but it comes at a very high cost.

The time taken for the end-to-end deployment process depends on the complexity of the project that you are working on, but if I have to give you a standard answer, it would be approximately six months to start from scratch until production goes live.

Considering the members from the production and UAT departments, the UAT department dealt with the product for three weeks, and the overall deployment process took place over a month to a month and a half. Around eight staff members were required for the deployment process, including an Informatica developer responsible for configurations, a lead developer, two people for integration, a project manager, and one solution architect.

One of the in-house teams in my company carried out the deployment process.

I would say that the return on investment from the use of the solution is fairly good.

I rate the product's ROI a nine on a scale of one to ten, where one is zero percent return on investment, and ten is one hundred percent return on investment.

I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price. The product does come at a certain cost since it is one of the best products in the market. The payments for the solution are made on a subscription-based model, meaning it is a pay-as-you-go model. In general, the costs attached to the solution depend on its usage.

The costs, in addition to the standard licensing fees for the solution, depend on users' requirements.

The people required for the maintenance of Informatica MDM depend upon the requirements of the clients who use the product.

I would say that a team of five people that includes a solution architect who operates in a partial capacity would be good enough to take care of Informatica MDM's maintenance phase.

I recommend the solution to those who plan to use it.

I rate the overall product a nine out of ten.

We used the solution for data storage, and data cleaning to improve data quality. The solution also served as a data lake for reporting purposes.

The solution has made it easier for us to retrieve and maintain the data as well as saves us time.

The ability to clean out data and improve the data quality is the best feature.

The solution is user-friendly and easy to navigate.

The cost of Informatica MDM is expensive and has room for improvement. Although the solution is good, it is not worth the high cost.

I have been using the solution for five months.

I give the stability a ten out of ten.

I give the scalability a ten out of ten.

We had ten people using the solution in our organization.

We previously used EXAScaler and switched because we were moving to the cloud.

I give the initial setup a nine out of ten. The deployment took us one month. We prepared the environment and the deployment was completed by the Informatica engineer.

The implementation was completed by an Informatica engineer.

The solution is very expensive. I give the cost a three out of ten.

I give the solution an eight out of ten.

The solution is good and I recommend it as long as the pricing fits the organization's budget.

We've 300-400 data quality rules and different kinds of rules for completeness, conformity, and timeliness. We're using Informatica to implement those rules in Cloud Data Quality.

Informatica has CDI. So, if you find some issues, you can always integrate your CDI and then fix your data.

The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless.

I have been using Informatica Cloud Data Quality as a partner for three months.

I rate the solution's stability a nine out of ten.

We want to keep costs down, so we are not getting enough resources.

It is suitable for enterprise level.

I rate the solution's scalability as nine out of ten.

Support response time could be better.

Positive

I use Collibra Data Quality. I switched to Informatica because Collibra cannot integrate. Colibra Cloud Data Quality is a very basic tool. There is no integration capability. If you have problem records, there is no fix to remediate them using the same tool. With Informatica, you can integrate with CDI and then create a remediation plan.

The initial setup was straightforward, and we were able to start configuring the rules quickly, etc.

It took about half a day to deploy since we are also learning.

There are different tiers based on consumption, but there is no flexible option. The catalog grows slowly over time. It would have been nice to use a flexible feature at the beginning and then transition to a model where you have a fixed set of units that you consume and pay for. If you exceed those units, you move to the next tier. We were expecting a flexible pricing structure, which we did not get.

We would have preferred a pay-as-you-go model. Although pay-as-you-go is slightly more expensive, we know our consumption will not be high initially. 

It is easy to integrate cloud data quality with IT workflow. We haven't faced many challenges. It is fairly straightforward.

I recommend the solution. 

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

I use Informatica Cloud Data Quality in my company, as most of our customers have data from different systems and just want to standardize and enrich that data. If you have data like cell phone numbers, it is important to ensure that there is a consistent format to adhere to, like the area code, IDs, or social security numbers. The tool also helps users check email addresses because sometimes a user may find that their data has an incorrect email address. A lot of the use cases related to the tool involve understanding the data from all of the systems and starting the journey to unify some of those data fields, having some consistency in how the data is being captured, and helping look at the completeness of the data. In short, the use cases are to understand the data from different systems and different sources generally. Data could come from the CSV, a web service, or out of the database, but Informatica Cloud Data Quality allows you to extract from all those sources to give you a unified interface to decide how you want to customize and standardize the data.

The most valuable features of the solution stem from the fact that the product's integration capabilities are easy to work with, along with another feature, the name of which I forgot, but I know that it helps users to compare the quality of results from two different points in time just to see if there have been any improvements.

I think Informatica Cloud Data Quality is one of the more mature cloud products, so I can't think of any areas where improvements are required. Informatica Cloud Data Quality is a product that is very similar to what Informatica offers for data quality on-premises, so there aren't too many gaps compared to the others, and I can't really think of any area requiring improvements.

I would like Informatica Cloud Data Quality to offer more integration capabilities with different platforms. I need to consider the fact that Informatica Cloud Data Quality supports a lot of the standard protocols for which most platforms use endpoints. In short, integration is not really an issue with the product.

The high price of the product is an area of concern where improvements are required.

I have been using Informatica Cloud Data Quality for a year and a half to two years.

Stability-wise, I rate the solution a ten out of ten.

It is a cloud-native microservices-based product that can manage a lot of data. Scalability-wise, I rate the solution a ten out of ten.

Though at the moment we are not currently using the product in our company, a while ago, around 15 employees used to use the product.

The solution's technical support was good. There were no issues with the solution's technical support.

I have experience with Informatica Intelligent Cloud Integration Services.

The product's initial setup phase was easy.

To get the product running, you just need to switch it on, so I don't think it takes more than a day. After deciding the sources from where your data would come from, you can decide if the cloud needs Informatica Cloud Data Quality while ensuring that nothing gets installed on the server, but the only thing you might need is a secure agent on your machine and that is really quick to set up on a virtual machine, which I feel won't take more than a day.

The solution is deployed on the cloud.

I can't remember the deployment process of the product since I am currently working in a different space.

The product's deployment was carried out with the help of a consultant, an integrator, and our company's in-house team. A consultant would be useful to guide a customer, but typically, customers tend to want some hand-holding and someone who can look towards them. Once someone shows the customers of the product how to do the deployment process, then they can do it themselves.

I have seen some benefits from the use of the solution in my organization.

It is a tool that is easy to trust with your data. The tool's service provider also ensures customer experience satisfaction from the use of the product. In one of the use cases, the tool helped the user identify which systems would be decommissioned because of the outdated data that the user had, and now that the user has updated everything, it should be much easier to cut down on those systems that they don't need to use.

The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high.

Those who plan to use the solution should conduct a pilot or proof of concept before choosing the product to understand the tool and also present the facts of the business because it will be much easier for a normal user to understand the purpose and the value that the product provides in an actual or real case scenario.

I rate the overall tool a nine out of ten.

I use Informatica Intelligent Cloud Services since it is a platform that offers cloud data governance or cloud governance policy, making it applicable to what you need. For customers who just want to understand the data better, make better decisions, provide better service, and avoid any sort of legal issues during the vacation period of its users, The product keeps up with some of the standards to adhere to some of the use cases.

The most valuable feature of the product is that, as a platform, it helps with data quality, and everything is sort of one console. The on-prem version of the product has different applications and different user interfaces, offering users consistency in the look and feel, which I like about the product.

The product's pricing is definitely an area where a bit of improvement is needed. Improvement in the product's pricing can help Informatica Intelligent Cloud Services gain more customers, especially in small and medium enterprises where there is a need to upgrade the solution.

Certain improvements are needed in the product, considering from a feature parity point of view. There needs to be some improvements in the product's upgrade options since it can allow users to see all of the on-premises features from other products that are a part of Informatica Intelligent Cloud Services.

The product's price is an area of concern and needs to be reduced, especially in Africa, where it is considered a huge investment, even if it is used in banks.

I have been using Informatica Intelligent Cloud Services for a year.

Stability-wise, I rate the solution an eight out of ten.

I rate the solution's scalability a ten out of ten.

Between 100 to 200 people in our organization use the solution.

The solution is extensively used in our company.

I haven't worked with any solutions similar to Informatica Intelligent Cloud Services since I come from a background where I had to deal with workflow and VPN sort of background and robotics, specifically software robotics.

The product's initial setup phase was a bit straightforward.

The solution is deployed on the cloud.

The deployment phase did not take a long time since the product is a cloud-native solution. Once you have your environment set up by the team to access the product with the signed permissions, the deployment phase doesn't take more than a day to be done, but ultimately it depends on the organization. After considering a lot of things required during the deployment phase, the complete deployment process won't take more than a week to be completed.

A team of technical personnel would be useful to take care of the deployment and maintenance phases of the product, as it is a broad platform.

The product's installation phase was carried out in our company with the help of Informatica's partner. Informatica's partner, who helped our company with the installation phase, works in the same industry as our company's customers, which proved to be extremely beneficial, especially from the resources point of view, since the availability of skilled resources and trained people were made available to help our company's customers on time.

Personally, I have not experienced any return on investment from the use of the solution. I have seen and heard about some use cases that fetch some return on investment for the users from the use of the solution. I haven't worked with the solution long enough on any project to see the return on investment that the product can offer.

The solution is expensive.

There is a need to make annual payments towards the license costs attached to the solution, but it is usage-based.

I would ask those who plan to use the solution to go ahead with the proof of concept stage initially and choose a scenario that they want to know more about so that they get a better understanding of the tool.

I rate the overall tool an eight out of ten.

We utilize it for two tasks. The first involves collaborating with our business team to identify specific data quality issues, and this part of the process runs smoothly. However, the second task is focused on using Informatica to investigate data issues that aren't entirely clear. This aspect doesn't yield satisfactory results, and we struggle to effectively pinpoint the problems using the tool.

When discussing data quality within IDMC (Informatica Data Management Cloud), it involves several modules, including CDI (Cloud Data Integration), CDP (Cloud Data Profiling), and Cloud Data Governance. Initially, we focused on Cloud Data Integration, which was the aspect we were already familiar with. We encountered challenges when trying to explore data quality issues using Informatica. We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog.

We are currently working on improving the user interface for our end users. At the moment, our end users do not frequently connect to Informatica for data quality because they have trouble locating the results within the platform. The remediation processes are not adequately supported within it, and we cannot easily assign data quality issues to specific individuals, nor can we send the entire results to anyone via email. While we can send reports via email, we lack the capability to attach the actual results or provide links to them. We have been suggesting these improvements to Informatica, but as of now, we have not seen any significant progress. If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience. Also, there were initial architectural misalignments with the product. We believed that Informatica could directly connect to the source systems, but while it is technically possible, doing so would significantly impact the performance of the source systems. As a result, we did not receive approval to connect directly to them, and we did not plan to maintain copies of these systems.

I have been working with it for one year.

I would rate the stability of the platform seven out of ten. We have faced a recurring issue after each quarterly upgrade or new release in their cloud platform. This problem involves the functionality that used to work correctly no longer operating as expected.

I would rate its scalability capabilities six out of ten.

Overall, I would rate it six out of ten.

We use Informatica MDM to enable the master data for getting the customer's product 360.

Informatica MDM has data quality, mastering the data's capability.

Inserting the GenAI into the master data management will reduce the overall effort of operational activities.

I have been using Informatica MDM for five to six years.

Informatica MDM is quite a stable solution. I rate Informatica MDM a nine out of ten for stability.

Informatica MDM is quite a scalable solution. Most of our clients for Informatica MDM are enterprise businesses.

Usually, it takes six to eight months to deploy Informatica MDM.

Master Data Management is always only 20% implementation; the remaining 80% defines all other components. So, if users have the right process, the tool will do its job. The tool will do whatever we give input for.

Informatica MDM is quite a good product in terms of mastering all the data and ensuring that we will be able to get a 360 degree of the master data.

Overall, I rate Informatica MDM a nine out of ten.