Types of Integration Projects in Java

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Types of Integration Projects
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However, if we are modernizing the information system, does it only affect processes involving supervision or support If the answer is yes, then now is not the moment to launch a BPM project. If the modernizing phase touches the business processes (operational, functional), these processes satisfy most of the following characteristics: Do these processes have a central position in the value chain Are they complex Are they often required to adapt to developments in the market, or in production, for example (frequency of change) Do these processes deal with significant volumes, or in other words, what is the number of new instances of these processes in a given month, day, or even hour (with 10,000 instances per month as a threshold for significant volume) Are these business processes closely supervised by management or upper management Do these processes require a high degree of computerization and/or automation, i.e., are they closely linked to the information system If the impacted business processes satisfy none of these characteristics, they are not appropriate for launching a BPM project. On the other hand, the more the impacted business processes do satisfy these characteristics, the higher the return on investment from implementing them in the information system with a BPM solution. Whether the project concerns implementation of a new application in the information system, or IT system urbanization projects, or the integration of interenterprise exchanges, all of them end up in some way modernizing at least part of the information system and therefore make a BPM project auspicious, if the impacted processes respond to the criteria above. 4.4.3. The top-down approach Once the BPM project has been launched, and the business processes have been selected for processing, it will be necessary to implement a way of working that will process the complete set of steps, from the initial design of the model for each process right up to the deployment of a version that can be executed in the selected environment.
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Two approaches are possible: the top-down approach starts from the business and modeling know-how in the business requirement team, and computerizes that model for the project execution teams; the bottom-up approach starts from what the information system can do, as designed and modeled by the project execution teams, then subsequently makes those process models visible to the business requirement team. The most appropriate approach most of the time is one that researcher Bernard Debauche describes as a yo-yo : successive iterations first from the business requirement team, then from the project execution team, and from both in concert, converge towards the business process models that best satisfy the requirements and the constraints in the business on the one hand, and IT on the other. In this approach, it can be useful for the business requirement team to start by modeling their business processes, initially not interacting with the project execution teams. When the business requirement team has sufficiently converged on a model for the business process, this model is picked up by the project execution teams, who analyze it to determine how it can be implemented in the information system. This analysis can lead in turn to exchanges between project execution teams and the business requirement team, adjusting the process if necessary around the capacities of the information system (availability of functional services, openness of the applications, limitations and constraints of the existing architecture, etc.). Here we can see the yo-yo effect. This back-and-forth process between project execution teams and the business requirement team is facilitated by the adoption of a notation such as BPMN, which is comprehensible by both types of actors. Once the process model is set, the work of the project execution teams consists of: setting the technical parameters for the process model; carrying out the required IT development; refining, validating and testing the resulting models; deploying the models on the production servers and making them available to the process actors.
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