We use it for creating a pattern for data integration with our data vault. We have also used it for creating APIs.

We are supporting a healthcare domain vendor located in the US. We get data from various domains, such as health insurance. We have member data, provider data, and consumer data. We also have client-related stuff and broker-related commission data. 

We get the data from these domains, and after receiving it, we apply the transformation rules, such as joints. We also do the standardization of data by formatting and doing field validations, such as formatting the date field and doing data and time validations. We also do other normal transformations with some business logic. After applying all this, we send the data to the business.

We are a consulting company and we use this solution for our clients. We set up the data for them. We have various healthcare-related information from their vendor and business partners. They have integrated them and get data reports from it.

I am a consultant. I provide product information for our clients.

We are using this solution with enterprise customers for ETL (Extract, Transform and Load). The clients are just using it for retail processes.  

We are a solution provider and this is one of the products that we implement for our clients.

This solution has an end-to-end process used for data integration.

The primary use case is for ETL purposes for when we're building data warehouses or data marts. We use it to get the data from different disparate sources, do some ETL on them, and we use DataStage and then load them into the data warehouse, database, or data mart.

This solution used to be on-premises, but they've recently come out with a hybrid offering.

The most powerful use of this solution is for full delivery integration. Aside from the ETL aspect, it makes data lineage. We are customers of IBM InfoSphere and I'm head of IT integration and finance transformation.

We primarily use this product for data loading. We take data from different applications and databases and put it into our data warehouse.