Is It Time to Revamp Your Data Translation Strategy?
After a few brutal years in a stagnant economy, things are starting to look up for many supply chain companies. Consumers and companies are beginning to buy more, factories are ramping up and the business outlook is improving in certain segments of the market. This uptick is prompting companies to seriously evaluate whether their data translation strategy is up for the growth ahead.
If you're doing data translation on-premise using point-to-point data mapping, you know that it works perfectly well when you have a small number of trading partners. It only starts to break down and becomes hard to maintain as you add more trading partners, document types and back-end applications-all byproducts of growth. In other words, point-to-point mapping simply is not scalable in a practical or cost-effective way.