Mapping has long been one of the most tedious parts of transformation projects. It is time-consuming, prone to errors, and difficult to scale. Yet this is exactly where AI can make a difference. By transforming one of the biggest project bottlenecks into a strategic accelerator, AI helps organizations improve speed, quality, and scalability. Julian Müller, Architect & Head of Development at Natuvion, explains how.
Anyone involved in large transformation or migration projects knows the scenario. Business and IT experts spend hours working through spreadsheets, comparing field names, discussing business meanings, and trying to connect source and target structures correctly. What looks like routine detail work often turns into one of the biggest obstacles in the project.
Mapping is far more than a technical matching exercise. Different naming conventions, decades of legacy systems, language variations, and company-specific business logic make data mapping a complex challenge. At the same time, it is highly time-sensitive, prone to mistakes, and often dependent on the knowledge of a few key experts.