Context Delivery Architecture (CoDA)
Definition - What does Context Delivery Architecture (CoDA) mean?
Context delivery architecture (CoDA) is a broad-based term (commonly attributed to Gartner) that refers to the need for applications and modular parts of systems to be context aware or, in other words, to know as much as possible about a user context.
Techopedia explains Context Delivery Architecture (CoDA)
In a sense, context delivery architecture is a component of context-aware computing (CAC). In CAC, the goal is to provide more contextual details for a specific user interaction. This can be thought of as a similar goal to some others that apply in data storage management — to break down silos, to eliminate barriers for information and to disseminate information that is stored in the broadest and most vibrant ways possible. Another way to think of this is in the specific techniques that companies use, such as cross-indexing, where archived information is, again, brought to a particular user point.
One example is the use of customer identifiers across various parts of the software architecture. A customer name or other identifier might be built into a transaction database, but not built into software systems that salespeople or other staff use in various other contexts. Here, CAC helps promote better "universal" access to this information and to other kinds of information. Applications would become more intelligent about the background and history of the relationship between a customer and a firm, for example, by adding all sorts of other archived information, like purchase histories, or even age and location or other demographic information.
IT experts claim that the term "context delivery architecture" is fairly obscure and proprietary, and that, in actuality, this kind of CAC will probably happen through specific kinds of vendor services. One example is customer relationship management (CRM). Customer relationship management tools are built on the premise of CAC in that they seek to aggregate stored information about a customer's background and history, transactions, identifiers, demographics and more, in order to help salespeople who use it at a particular point of contact. This general kind of principle is expected to emerge as one of the hottest new technology trends in the years ahead.