Many organizations have initiated data and analytics transformations with some success, however are beginning to face challenges in scaling efforts beyond a handful of applications/use cases. One of the major barriers remains around data management, including challenges with data transparency, integration, quality, and accessibility. Data products represent the next wave of progress for the enterprise – defining explicit shared meaning around data; designed with scale and value capture in mind. In the talk, we walk through the challenges faced today and propose an approach to develop and maintain data products - including the team, funding model and use of knowledge graphs.