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Big bang adoption or direct changeover is when a new system is adopted instantly, with no transition period between the old and new systems. [1] [2] [3]When a new system needs to be implemented in an organization, there are three different ways to adopt this new system: the big bang adoption, phased adoption and parallel adoption.
There are several adoption strategies that can be used to implement a system in an organization. The main strategies are big bang adoption, parallel adoption and phased adoption. "Big bang" is a metaphor for the cosmological theory of the same name, in which the start of the cosmos happened at one moment in time. This is also the case with the ...
Workaround strategy / Rollback plan: Being distinct from the other adoption scenarios, also integrated in the conversion scenario is the workaround or contingency strategy with a rollback plan. The workaround strategy is defined in a broader scope in another entry, but in this context it indicates as defined in the above table: A backup plan ...
Phased implementation is a method of System Changeover from an existing system to a new one that takes place in stages. [1] [2] [3] Other concepts that are used are: phased conversion, phased approach, phased strategy, phased introduction and staged conversion. Other methods of system changeover include direct changeover and parallel running.
This section describes common design patterns for implementing EAI, including integration, access and lifetime patterns. These are abstract patterns and can be implemented in many different ways. There are many other patterns commonly used in the industry, ranging from high-level abstract design patterns to highly specific implementation ...
Strategic planning is an organization's process of defining its strategy or direction, and making decisions on allocating its resources to attain strategic goals.. Furthermore, it may also extend to control mechanisms for guiding the implementation of the strategy.
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Deferring the decision about which algorithm to use until runtime allows the calling code to be more flexible and reusable. For instance, a class that performs validation on incoming data may use the strategy pattern to select a validation algorithm depending on the type of data, the source of the data, user choice, or other discriminating factors.