A Service Oriented Architecture Supporting Data Interoperability for Payments Card Processing Systems
As the size of an organization grows, so does the tension between a centralized system for the management of data, metadata, derived data, and business intelligence and a distributed system. With a centralized system, it is easier to maintain the consistency, accuracy, and timeliness of data. On the other hand with a distributed system, different units and divisions can more easily customize systems and more quickly introduce new products and services. By data interoperability, we mean the ability of a distributed organization to work with distributed data consistently, accurately and in a timely fashion. In this paper, we introduce a service oriented approach to analytics and describe how this is used to measure and to monitor data interoperability.
Keywordsdata quality data interoperability service oriented architectures for analytics payments card processing systems
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