To enable smooth automated commerce, electronic version of documents must correspond accurately at both sides of information exchange. Therefore, An EDI tool’s worth should not be measured only on its ability to rapidly assimilate data. An advanced EDI solution must provide mapping capabilities as well to enable processes to communicate and exchange data in simple ways.
Here are some mapping functionalities which an advanced EDI tool must deliver:
Drag & Drop Interface: An advanced tool must enable drag & drop interface to enable computer-to-computer integration of business documents. It should provide automatic translation of electronic documents between source and target applications.This functionality simplifies transaction sets and connectivity methods with trading partners. An advance tool should:
- Maintain standard EDI versions for seamless partner data exchange
- Accurately convert and bring business data into business application database
- Enable structuring of information into reusable formats
- Configure automated responses for managing exceptions
Simple Mapping Options: Entities move faster and become easier to do business with when the data conversion becomes as simple as opening the file and moving it to any corresponding source. An advanced EDI mapping tool should provide simple & multi-discipline mapping options for normal business users to match data elements.
Centralised Interface: A centralised interface should be available to support database mapping between any data format, i.e., XML, flat files, EDI, Excel (OOXML), Web services, etc. When a database is loaded into the system, it should create and display graphical mapping designs between source and target structures of data. This helps users in saving the obtained results and converting data in just one click.
Filtering and Data Processing: On many occasions a lot of data manipulation is required between source and target based systems. In such scenarios, businesses need to manually perform logical comparisons, computations, string operations, value checking, etc. The data mapping tool must promise real world transformation functions (manipulation strings, aggregation, conditional maps, mathematical value maps, etc.) to construct database mapping, extract database, & filter and process data.
Version Support: A business user might be transacting documents with four different partners at one point of time. In such cases, a tools that supports only X12 version won’t enable smoother exchange of data. Therefore, an EDI mapping tool should provide support to all EDI standards and versions like X12, EDIFACT, Warehouse Industry Network Standard (WINS), etc. The EDI tool should confirm that it provides support to all document formats.
Error Handling: Every EDI Mapping tool handles error differently. An EDI tool should enable users in tracking the exact location of error and provide a meaningful description about it. This will enable users in knowing about the technicality and finding a viable solution for it. Advanced tools provide automatic functional acknowledgement (diagnostic message) to correct repetitive errors
Automated Report Generation: Controls for report generation help users in maintaining a track on various aspects of data exchange. User defined reports, transaction reports, and reconciliation reports can add more value and improve data exchanges. It can help users in understanding that whether an acknowledgement has been requested, accepted or rejected.
Electronic Forms: An EDI Mapping tool cannot function like a standalone application and it should provide forms and templates for viewing EDI data. User friendly formats enable non-technical and user friendly ways to generate or receive EDI data from any data source. Advanced tools enable users to define data handling procedures to determine how data appears on screen. Some of the features are mandatory fields, automatic data countering, etc.
The aforementioned were some of the mapping features that a promising EDI tool must offer. Know how Adeptia carries these groundbreaking functionalities to improve data governance life cycle, improve services reduce B2B integration and improve profitability.