The debate around the definition of "data as a product" is ongoing, with various authors offering different perspectives. Some definitions focus on applying key product development principles to data projects, such as identifying unmet needs, agility, iterability, and reusability. Others emphasize providing data to stakeholders automatically or applying the principles of product thinking to create data products. A fourth perspective views data as a product as a shared mindset across the entire company that integrates all pieces of data, tools, and processes into one big data product. Ultimately, the best definition is one that encapsulates key product development principles and their application to data projects, recognizing that there is no single "right" answer and what matters most is finding processes and systems that help data teams advocate for the importance of data on a wider organizational level.