Ways to Create Data Transformation Maps for Integration of EDI Solutions

There are several mapping transformation approaches. First is the manual mapping in which the source and the destination data formats are identified and then the rules for transformation are manually mapped. It generally utilizes some type of visual drag-and-drop mechanism.  This is the widely used approach but on the downside, it is the most time-consuming one. This approach can be employed for creating new transformations, in particular, in case no similar map is on hand to bring into play as an initial point. When you are implementing an all new solution, then also this approach can do wonders. Another manual method is map reuse in which an existing map is copied and modified in order to conform to the new transformation need. The base map is the beginning point for the new map and normally consists of the mappings that are identical to the form of transformation being carried out. The most common employment of map reuse is with EDI B2B integrations whose formats can be linked with another similar format.
The automated mapping, which is sometimes referred to as assistive or smart mapping is the method of exploiting the assistive techniques for automation of the mapping procedure. It functions by providing options of matches between the source and destination documents depending on the varied suggestion algorithms available. In the property matching approach, the data types, names and other properties are used form the source and destination formats to refer a mapping instruction. Other techniques used by the appointed dynamics CRM application consultants include dictionary-driven suggestions, mapping patterns and Metadata tagging. One of the best things about the automated approach is that it can be employed for any kind of integration for creating the first map as well as the subsequent mapping transformations.