Informatica Intelligent Data Management Cloud

I am using Informatica Intelligent Data Management Cloud (IDMC)  as a consultant providing technical support for the platform.

I have been dealing with the product for approximately 20 years, starting with the PowerCenter  tools and then moving to the Data Quality  side. We used the on-premises Data Quality , the Enterprise Data Catalog, and Axon for the business metadata and glossary components, and we have migrated all of those on-premises solutions into the cloud solution.

Regarding IDMC's real-time data streaming capability, we do not use it for any sort of replication as we have other tools that do that, such as Qlik for replication. Those tools were already established, and the biggest driver for us is a catalog, glossary, and data quality—those are the three primary areas that are our biggest use at the moment.

My specialization in Informatica Intelligent Data Management Cloud (IDMC)  really focuses on the lineage side and the cataloging. I do a bit of development, but I am focusing on actually implementing the end-to-end lineage, creating the custom lineage, and creating custom resources.

We do utilize IDMC's data integration features, and we use the CAI component and have integrated it into other applications, such as Jira  and the Confluence  tool. Our company landscape is quite broad, so we have a lot of different technologies because as the company has grown over the years, we have acquired other companies with their own technology suites that we have had to integrate to, which presents challenges.

Regarding IDMC's data catalog, I am still fairly new to it, having used it for approximately the last month, so I am getting to grips with it. There were some features I thought were better on-premises, but it feels a catch-up game. What I do appreciate about the cloud is the transparent update cycles with minimal downtime, all managed within the cloud environment, which definitely provides a better user experience.

We have a huge footprint on the data quality side with IDMC. Many of our subsidiaries are using that, and it is becoming increasingly important with the AI component, understanding data quality before leveraging it for any AI initiative. Many business units are now mandated, as part of their key performance indicators, to ensure data quality on all sources.

I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days.

I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team.

It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos , Qlik, Qlik Sense , QlikView , or Power BI.

I rate the technical support for IDMC at an eight out of ten as any issues that we raise are dealt with fairly speedily.

We also have a support partner in South Africa that deals directly with Informatica. We log our calls with our support partner, who in turn logs it with Informatica, facilitating all of the interaction.

The interface of Informatica Intelligent Data Management Cloud (IDMC) is fine, and I appreciate the browser interface. There is no thick client needing constant upgrades, and I am enjoying the fact that the software is quite seamless to actually use.

Regarding the pricing of IDMC, that is not really in my domain as it is more at the management level.

I rate this product a seven out of ten overall.

I worked for around seven to eight months on a project in the insurance domain using Informatica Intelligent Data Management Cloud (IDMC)  and there I was working as a Senior Solution Architect or a Principal Cloud Consultant.

We use the data integration features of Informatica Intelligent Data Management Cloud (IDMC)  with a focus primarily on the ETL perspective or the data warehouse perspective, where we are taking different data sources, combining them, implementing some data quality rules on top of it, and then storing it in our data warehouse environment. From there, we are using that data for our reporting and analytics purposes.

We also use the IDMC Data Catalog, but that is very limited, and we are using it only for governance purposes. As a Solution Architect, my main involvement is to design the solution at a very high level; at a ground level, I'm not using the Data Catalog on a day-to-day basis.

The best part about the Informatica Intelligent Data Management Cloud (IDMC) is the modularity; when I say modularity, I mean the things get easier by working into different modules. For example, if you want to implement the Master Data Management solution, we are only limited to the master data solution. If you want to go with the admin side of the things, then we are only limited to the admin side of the things. The second important thing I appreciate about this is the more focus from the AI angle, Artificial Intelligence angle, which is inbuilt into the IDMC.

Definitely, we see return on investment from this solution in terms of time; time reduction or cost benefits is what we are getting very good results from.

One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach.

My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter  kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM  or Data Governance , there is no way by which we can directly practice, and my team struggles at that point.

I worked for around seven to eight months on a project in the insurance domain using Informatica Intelligent Data Management Cloud (IDMC) where I was working as a Senior Solution Architect or a Principal Cloud Consultant.

I find Informatica Intelligent Data Management Cloud (IDMC) to be a sustainable and scalable solution.

My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter  kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM  or Data Governance , there is no way by which we can directly practice, and my team struggles at that point.

My experience with technical support would indeed be rated as nine out of ten.

The initial setup of Informatica Intelligent Data Management Cloud (IDMC) is moderate; it is not complex.

We see return on investment from this solution in terms of time; time reduction or cost benefits is what we are getting very good results from.

My company is a partner with Informatica, and we are the service provider for the company, which defines my relationship with Informatica.

My main role is not involved in the pricing side of things because that is already between the company and the clients. My title is Principal Cloud Engineer at Fifth Dimension Robotics.

On a scale of 1-10, I rate Informatica Intelligent Data Management Cloud (IDMC) a nine out of ten.

We are using Oracle, Informatica IDQ , EDC, and Axon. These three tools are currently being used on one of our projects in the Middle East.

We recently started a project with one of our clients in Saudi Arabia, and we are using Informatica Cloud Data Quality  for data quality management.

The customer required us to use Informatica Cloud Data Quality . They insisted on having it and were willing to pay more, which is fine because we tried to ensure that the tool is just a mechanism to automate activities, not the backbone for implementation.

EDC stands for Enterprise Data Catalog , IDQ  stands for Informatica Data Quality , and Axon is for governance.

Mainly with data quality, we have a full data quality management suite through Informatica Cloud Data Quality itself, starting from documentation of business rules, profiling, getting any kind of issues with data quality, doing assessments, and we do these kinds of frequent measures for data quality, as well as resolving any kind of issues.

Regarding the features, the dashboards related to data quality profiling are the most powerful tool that we are using, and the integration between EDC and the data quality is very important. Having this feature provides a real understanding of the environment and also aids in quality management for whatever kind of data sources within the organizations.

The configuration of Informatica Cloud Data Quality is one of the challenges we have, especially with a limited number of users which is always a challenge when using Informatica as a tool.

Our administration team always refers to Informatica Middle East for each step, so communication is also one of our obstacles because materials to explain the steps seem not very mature. The technical team struggles, as they keep getting back to Informatica almost every day for feedback and guidance, and this should be automated somehow so that people can easily access the materials.

The tool itself is mature and everything is fine, but we have these kinds of facilitations that the tool itself needs to be improved.

I am satisfied with the quality of support I receive, but sometimes we get some delays here and there when it comes to responses, but overall, it's good.

I do not consider that Informatica Cloud Data Quality is cost effective enough, as it's very expensive and we are using another tool called OvalEdge , which is similar in some features, but not all features. OvalEdge  has about 90% of the functionality of Informatica Cloud Data Quality but costs about a third of the price.

I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high. My experience with Informatica Cloud Data Quality compared to OvalEdge shows that OvalEdge is better because they are very flexible, they develop connectors whenever there is a requirement, they respond immediately, and the installation and configuration of the tool is straightforward and easy to use at a third of the price of Informatica Cloud Data Quality.

Collaboration between team members is important. On a scale of one to ten, I rate Informatica Cloud Data Quality a nine out of ten.