As companies seek to broaden their business by introducing new products and instruments, a major problem they confront is the proliferation of multiple applications, with little or no interoperability between them. Consequently, an end-user is forced to use several different applications to conduct their daily business. For instance:
- A salesperson who sells credit products needs to know both a live spread on an Axed corporate bond, and information about the underlying benchmark (which happens to be traded in a separate system).
- A financial analyst would like to obtain historical trade-data for a client, but has to look up the information in five different data-repositories.
- A financial risk officer wants to see live aggregated Flow Risk from Credit and Rates systems, and the Cash-Flows generated from a separate Derivatives system.
Iris specializes in working alongside top tier financial firms to solve problems endemic to the industry. We created the Iris Data Aggregation and Visualization (iDAV) framework to specifically address the issues of service and data diversification. iDAV enables new products to be easily integrated into a common base infrastructure with simple configuration changes. The underlying services maintain their own service-model, while the client-application, with its diverse sets of plug-ins, can combine and aggregate them all.
Time to market is reduced significantly, as most new functions can be implemented with simple configuration changes. Services can be integrated via standard dependency injection, and multiple asset classes can be added with ease.
To know more about how our customers are using iDAV, please contact email@example.com