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Business processes can be classified according to their degree of repetition.
Some of the processes that are repeated in large numbers in the organization are often those that are performed without human intervention; Like ordering plane tickets online. But processes in which the human factor is involved can also be repeated; Such as processing claims in insurance companies. If the repetition rate is high, investing in modeling and supporting the automatic activation of these processes will be cost-effective; Because many instances of processes will be able to benefit from the results of this investment.
On the other hand, some processes occur only a few times ; Like big engineering efforts like designing a ship. For such processes, it is doubtful that modeling is cost-effective; Because the cost of modeling per instance of the process will be very high.
Because in such processes, "improving collaboration between planners" should be the focus, they are called joint business processes .
In shared business processes, the goal of process modeling and activation is not just efficiency; Rather, goals such as accurately tracking what has been done and explaining the causal relationships between " project tasks " are pursued in modeling.
This aspect is also present in the management of scientific experiences; Where data alignment is an important goal to support processes .
Since each experience consists of a set of activities; Most of the experience is done through data analysis by software.

" Data is transferred in steps . "

Whereas experiences must be repetitive; Relationships between datasets need to be properly documented .
Less repetitive processes are usually not all automated and have a collective character; As the need to try to create automated solutions is eliminated and costs are reduced.

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