Implementation Scenarios

DXchange as Enterprise Service Bus

DXchange, as an Enterprise Service Bus, can connect systems from various departments in an enterprise together and allows access information from any (combined and separate) using web services or other communication protocols.

DXchange for Travel Vertical

DXchange fully supports the XML specifications developed by OTA (OpenTravel Alliance) and TTI (Travel Technology Initiative). It provides Web Portals the ability to bundle XML requests to multiple suppliers in a single request, aggregate and consume XML or any form of online data from suppliers. For Vendors, DXchange enables them to expose their data/systems as OTA compliant web services in a cost effective and secure manner giving them a wider market reach.

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DXchange for Insurance Vertical

DXchange offers a scalable SOA platform with an integrated rules engine, which allows Insurance companies to expose their existing legacy systems, data and logic as web services, which can be used for creating new applications on modern platforms. This protects their multi-million dollar investments in tried and tested legacy hardware and software systems. This results in a very short ROI. DXchange provides a middleware platform with a configurable interface driven rules engine that delivers exceptional ROI’s for real time reporting services and data warehouses.

This Middleware platform can be implemented at either the insurance company level or at the IMO level to create new distribution channels.

DXchange for Law Firms

With DXchange one extract of transaction can be delivered to multiple vendors in one instance. Case distribution systems of any bank, financial institution or mortgage houses can push data for updated status of respective cases to case management systems of law firms. The same interface can also pull data from court systems to send back the statuses and events in form of response.

DXchange for External Data Sources

Using DXchange, we have connected to diverse distributed data sources like SQL Oracle, COBOL, XML data sources and other customized form of data. We have implemented the solution in data push and pull scenarios. Use of a business rules engine allows the customer to manage changing requirements without changing the code.