Systems

In the filed of enterprise application integration, segregation of the application and its data is not preferred as it poses some disadvantages. It may not be a practical approach for some organizations. Hence, it is most suitable to incorporate several integration disciplines. In such a scenario, it is a must to interlace infrastructure and application infrastructure without any flaw.

Enterprise application integration is a vital process in the implementation of a software. In this process, the segregation of the application and its data is not preferred. A siloed approach in which the components are isolated will lead to catastrophic results like the vehement increase in the resources and the cost incurred.

Integration based on the diverse latency of data and flows is not a practical approach for most organizations. It becomes unsustainable especially when the sources aren’t equipped for meeting real-time needs like applications and data sources of legacy environments.

Applications like mobile apps, Internet of Things (IoT) devices and complex environments based on digital business models will specifically need an improved scope for integration in terms of scale and flexibility due to their level of sophistication.

Timely and orderly dissemination of information is a critical factor for organizations in identifying opportunities and threats and responding appropriately. Although following a single integration discipline is efficient and cost effective, there may be instances where organizations will have to incorporate several integration disciplines in order to maintain stability and profitability. Due to this reason, organizations need to establish a modern infrastructure for the integration process that interlaces both the information infrastructure and application infrastructure without any flaw. This modern infrastructure must respond well in the following scenarios.

  • In delivering the shared data needed in contrasting applications in optimizing the business initiatives and achieving business goals.
  • In optimizing flows securing data consistency by connecting and aligning operational activities through a balanced focus.
  • In interacting with diverse and contrasting structures to promote efficient transactional integration which support multistep processes.