There are certain elements that must be defined as the data architecture schema of an organization is designed. For example, the administrative structure that will be established in order to manage the data resources must be described. Also, the methodologies that will be employed to store the data must be defined. In addition, a description of the database technology to be employed must be generated, as well as a description of the processes that will manipulate the data. It is also important to design interfaces to the data by other systems, as well as a design for the infrastructure that will support common data operations (i.e. emergency procedures, data imports, data backups, external transfers of data).
Without the guidance of a properly implemented data architecture design, common data operations might be implemented in different ways, rendering it difficult to understand and control the flow of data within such systems. This sort of fragmentation is highly undesirable due to the potential increased cost, and the data disconnects involved. These sorts of difficulties may be encountered with rapidly growing enterprises and also enterprises that service different lines of business (e.g. insurance products).
Properly executed, the data architecture phase of information system planning forces an organization to specify and delineate both internal and external information flows. These are patterns that the organization may not have previously taken the time to conceptualize. It is therefore possible at this stage to identify costly information shortfalls, disconnects between departments, and disconnects between organizational systems that may not have been evident before the data architecture analysis.
Without the guidance of a properly implemented data architecture design, common data operations might be implemented in different ways, rendering it difficult to understand and control the flow of data within such systems. This sort of fragmentation is highly undesirable due to the potential increased cost, and the data disconnects involved. These sorts of difficulties may be encountered with rapidly growing enterprises and also enterprises that service different lines of business (e.g. insurance products).
Properly executed, the data architecture phase of information system planning forces an organization to specify and delineate both internal and external information flows. These are patterns that the organization may not have previously taken the time to conceptualize. It is therefore possible at this stage to identify costly information shortfalls, disconnects between departments, and disconnects between organizational systems that may not have been evident before the data architecture analysis.
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