The authors present a logically structured definition that connects understanding customer needs to offering tailored solutions. The reasoning is valid because it links cause, which is data-driven understanding, to effect, which is personalized offerings. However, the argument assumes that more data automatically leads to deeper understanding without considering issues of interpretation or bias. The logical structure is sound, but it rests on a strong assumption that data equals understanding.