Data Assets or Data Products?

New paradigms arrive every day and we are happily jumping on exploring, experimenting, and learning how to best use them.

The notion of data products was originally driven by data science, yet as the thinking besides data productization matured, it made additional thoughts and diversions. Aside from the general direction to treat data as a product – meaning taking the utmost care of it, developing a roadmap of usage and deployment, elevating the value and adoption to align with discrete business goals, and addressing the scalability, constant upgrades, modernization needs, and much more. However, it also required the creation of a distinct differentiation between the core (“raw data”) data assets and data product approach.

This is nothing new for the industry – a decade ago, we had already a similar notion of data warehousing coming over with massive data extraction and transformation techniques, positing itself as the...