Abstract

The term “data product” is widely used but inconsistently understood across industries. This paper clarifies the ambiguity by distinguishing between two valid interpretations: curated datasets that enable data reuse, referred to as Lite Data Products, and digital solutions that convert data into measurable business value, referred to as Full Data Products. Context determines which definition applies, and organizations seeking to operate in value-driven, outcome-oriented models should prioritize the latter. Building on this distinction, the paper introduces the concept of Data-as-a-Product. This is a mindset and operating model that applies product management principles such as ownership, lifecycle management, and continuous improvement to data itself, transforming it from a passive asset into a managed, living source of sustained value.