This blog post is part of an ongoing series encompassing the top must-haves when selecting an integrated solution.
Companies spend a lot of time and effort on the design phase of a typical integration project. While using an object or model-driven approach – discussed earlier in this series – to set up transactions, processes and associated rules increases efficiency, automated object generation provides enhanced performance and reduces downstream workload.
Using a model-driven approach, companies can build objects with given rules and store them in the object library for re-use. However, with automated object generation, it’s possible to generate objects using metadata, sample data or other machine-readable data. For instance, you could generate an EDI trading partner profile based on ISA envelope information, or even generate a purchase order document definition by using an X12 850 file. In addition, objects can be generated using heuristically-driven algorithms.