Using the hub-and-spoke model of a centralized data hub, businesses can easily achieve their real-time data goals Sponsored by Cognizant
to those who need it at the right time. Modern businesses are driven by real-time business insights, decisions and reporting.What we should be talking about is the role an integration data hub can play in addressing most of the real-time data challenges clients experience. That’s because very often, these challenges are the result of using traditional point-to-point batch-mode integration among systems for operational data.
A data hub enables information sharing by connecting data producers with data consumers. Systems of record publish their data in real-time to the integration data hub so applications can access, consume and use the data in real-time. The hub provides a point of mediation, governance and visibility to how data flows across the enterprise. It defines data-level access, as well as policies on how long the data is kept.
In all of these cases, the integration data hub helped streamline operational data access easily and quickly, publishing data to upper-stream operational systems and historical and analytical ones. Both are important: need the data to complete business transactions that cut across multiple IT systems, such as issuing payment for a processed claim or displaying real-time updates to a member portal or app. Both of these capabilities positively impact customer service and satisfaction.
, not at rest. As a result, organizations that best manage their data and how it flows to the right people at the right time — quickly — will emerge highly competitive. A data hub is one of the key solutions organizations need to achieve real-time, event-driven, distributed accessibility of data and realize business advantage from their IT modernization efforts.
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