Informatica Intelligent Data Management Cloud

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.

We use Informatica Cloud Data Quality for data profiling and data quality. We also use the intelligent system of Informatica, lineage, and the data catalog.

We are using Informatica to get the data profiling. For example, if we are planning data analytics or data science projects, we first plan to ingest all the data that we are planning to use in that project into Informatica. Then we check it and get the profile. We also get the catalog of the data, and then we start.

The most important benefit of the data quality product is the data quality side. When we started, the data quality level was maybe 17% for that domain. After we ingest the data into the data quality tool, it is more than 70%.

The initial setup takes approximately less than two months for one domain. It can be easier, but it also takes a lot of time on the process side, such as creating the KPIs for data quality. The system is a little bit complicated. It has too many features.

The license or pricing is an area of the cloud data quality solution that I would like to see improved or enhanced somehow.

For our plan, Informatica Cloud Data Quality is now a fit. If asking about other features that would be nice to have, the AI side can be more powerful.

If a new solution has the same features and less investment, it would be worth considering.

I have been working with Informatica Cloud Data Quality for approximately one year.

I would evaluate Informatica's technical support as good. It's more than enough.

I evaluated SAP also. Microsoft does not have a strict solution. They now have Purview, but we could not evaluate it as they didn't have a solution for the last year. We evaluated Informatica, SAP, and Erwin. We can reach the support easily in Turkey. The solution centers are good.

For one domain, the initial setup takes approximately less than two months.

I am not utilizing the data quality rules management part yet.

We had a bad experience before Informatica Cloud Data Quality. We started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model. If we have an application like Informatica Cloud Data Quality or a data quality platform, we can finish the project in less than three months.

This is the on-prem data that we ingested. We don't use any cloud data that we have. For now, we are just using the on-prem data, and we don't have any integration from the data outside of the on-prem.

I would recommend it to other users. On a scale of 1-10, I rate this solution a 9.