The explosion of marketing technology (martech) has been one of the main drivers of marketing’s evolution over the last decade. Just compare: The Chief Marketing Technologist blog has been tracking the industry’s growth for ten years and when it first released its yearly marketing technology landscape overview in 2008, the chart contained roughly 150 tools.

There is plenty of information on the different types of APIs, common API architectures and protocols, and such.

In any application integration, data migration and in general, any data management initiative, data mapping is one of the most critical steps. One could even argue that the integrations project success depends largely on correct mapping of source to target data. So, let’s review what the data mapping best practices are: the types, the common approaches as well as the useful data mapping tools.

This discussion has been going for years: who wins the battle of EDI vs API? On the one hand, EDI is considered to be a legacy technology that is difficult to implement and maintain. Yet at the same time many enterprise-grade software systems have it as a key element of information communication. In fact EDI continues to play an integral role specifically in the supply chain oriented industries such as logistics, automotive and, of course, retail.