My main use case for Informatica Intelligent Cloud Services revolves around financial services in the banking domain, where a lot of regulations come into play such as BCBS 239. Financial services firms have to take care of GDPR. Therefore, in this highly regulated industry, my company HCLTech won an RFP for managing data quality, data transformations, and data governance for this bank. The client opted for Informatica, which is how we implement Informatica Intelligent Cloud Services in our work. In my day-to-day work with this client, I use Informatica Intelligent Cloud Services, a suite containing various services including Metadata Command Center and Cloud Data Governance and Catalog, as well as data quality services. Particularly for my data governance role, the two services I used are the Metadata Command Center, which establishes connections with source systems like Oracle database and Cassandra, and the Cloud Data Governance and Catalog, which ingests business metadata for our client. The ultimate goal is to create a relationship between both business and technical metadata.
I am working on Informatica Intelligent Cloud Services currently. As a consultant, I provide services to companies and clients using Informatica Intelligent Cloud Services. The scalability of Informatica Intelligent Cloud Services is good. I can increase its size as and when required, and if any modifications are needed, it is easily adaptable. Monitoring is required but minimal, and there is a reduction in error rate.
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Real User
Top 10
Mar 27, 2025
One of the projects I am currently working on, MVDW, involves a very huge volume, but without any major blockers, we are able to implement the code effectively. For the current MVDW project, we have around 100 plus integrations, and it is not a complex project; we can categorize it as medium complexity. However, the volume is significant since we are dealing with client data and PHI data, which is very large, but we have not faced any challenges concerning volume.
Data Integration Architect at Endeavour Foundation
Real User
Top 10
Mar 20, 2025
I use Informatica Intelligent Cloud Services predominantly for data integration. I utilize it for building data pipelines, which is a critical aspect of my job.
Data Engineer at a pharma/biotech company with 10,001+ employees
Real User
Top 10
Oct 25, 2024
On one of my projects, we used Informatica Intelligent Cloud Services for ingestion purposes. Secondly, we used it as a regular ETL for performing heavy transformations.
Technical Specialist at a tech services company with 10,001+ employees
Real User
Top 10
Oct 8, 2024
We utilize Intelligent Cloud Services for various transformations during mapping, applied logic, and data manipulation. We use it to complete tasks such as using joiner, filter, and expression transformation to load data into the target table. It can integrate with any cloud system.
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: January 2026.
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.
Product Manager at a manufacturing company with 10,001+ employees
Real User
Sep 28, 2022
The company I work for has a huge supplier database with a billion records, so Informatica Intelligent Cloud Services is a data integration tool used for migrating the legacy data to Informatica MDM (master data management), then moving to the cloud. It's GCP and PCF (Pivotal Cloud Foundry). I've also used Informatica Intelligent Cloud Services for moving data to SAP Ariba and SAP S/4HANA. Informatica Intelligent Cloud Services is used for multiple technology in legacy mainframes, Oracle, some PeopleSoft, some Java-based applications, some in-house, QAD to MDM, or to SAP S/4HANA, or SAP Ariba, so it has various use cases, from legacy to cloud, legacy to MDM, and MDM to S/4HANA, etc.
Intelligent Cloud Services is the union of all the clouds that we use in our organization. We use a variety of solutions that are part of this service. This product is the principal portal, and the first thing you will see is the main website. This is where you have access to all of the capabilities and functionalities that Informatica has available, and you can explore. Essentially, this product is the umbrella of cloud offerings that Informatica has for its customers. Some examples are Cloud Data Quality, Cloud Data Integration, and Cloud Data Profiling.
Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user...
My main use case for Informatica Intelligent Cloud Services revolves around financial services in the banking domain, where a lot of regulations come into play such as BCBS 239. Financial services firms have to take care of GDPR. Therefore, in this highly regulated industry, my company HCLTech won an RFP for managing data quality, data transformations, and data governance for this bank. The client opted for Informatica, which is how we implement Informatica Intelligent Cloud Services in our work. In my day-to-day work with this client, I use Informatica Intelligent Cloud Services, a suite containing various services including Metadata Command Center and Cloud Data Governance and Catalog, as well as data quality services. Particularly for my data governance role, the two services I used are the Metadata Command Center, which establishes connections with source systems like Oracle database and Cassandra, and the Cloud Data Governance and Catalog, which ingests business metadata for our client. The ultimate goal is to create a relationship between both business and technical metadata.
I am working on Informatica Intelligent Cloud Services currently. As a consultant, I provide services to companies and clients using Informatica Intelligent Cloud Services. The scalability of Informatica Intelligent Cloud Services is good. I can increase its size as and when required, and if any modifications are needed, it is easily adaptable. Monitoring is required but minimal, and there is a reduction in error rate.
One of the projects I am currently working on, MVDW, involves a very huge volume, but without any major blockers, we are able to implement the code effectively. For the current MVDW project, we have around 100 plus integrations, and it is not a complex project; we can categorize it as medium complexity. However, the volume is significant since we are dealing with client data and PHI data, which is very large, but we have not faced any challenges concerning volume.
I use Informatica Intelligent Cloud Services predominantly for data integration. I utilize it for building data pipelines, which is a critical aspect of my job.
On one of my projects, we used Informatica Intelligent Cloud Services for ingestion purposes. Secondly, we used it as a regular ETL for performing heavy transformations.
We utilize Intelligent Cloud Services for various transformations during mapping, applied logic, and data manipulation. We use it to complete tasks such as using joiner, filter, and expression transformation to load data into the target table. It can integrate with any cloud system.
The main purpose of this tool is for file transfers related to our Python server.
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 company I work for has a huge supplier database with a billion records, so Informatica Intelligent Cloud Services is a data integration tool used for migrating the legacy data to Informatica MDM (master data management), then moving to the cloud. It's GCP and PCF (Pivotal Cloud Foundry). I've also used Informatica Intelligent Cloud Services for moving data to SAP Ariba and SAP S/4HANA. Informatica Intelligent Cloud Services is used for multiple technology in legacy mainframes, Oracle, some PeopleSoft, some Java-based applications, some in-house, QAD to MDM, or to SAP S/4HANA, or SAP Ariba, so it has various use cases, from legacy to cloud, legacy to MDM, and MDM to S/4HANA, etc.
Intelligent Cloud Services is the union of all the clouds that we use in our organization. We use a variety of solutions that are part of this service. This product is the principal portal, and the first thing you will see is the main website. This is where you have access to all of the capabilities and functionalities that Informatica has available, and you can explore. Essentially, this product is the umbrella of cloud offerings that Informatica has for its customers. Some examples are Cloud Data Quality, Cloud Data Integration, and Cloud Data Profiling.