To successfully implement data products, organizations must support the entire lifecycle—from conceiving and designing the product through to building it, rolling it out, supporting it, then retiring it when it’s no longer needed. This responsibility should sit with a new organizational function devoted to data product management. It’ll need people with a broad range of skills around data, business analysis, DevOps and more. Plus, the teams creating data products need knowledge of the relevant industry and domain.
Organizations should develop data products in a data platform that’s built in the cloud. Why? Because cloud enables scale, agility, and the opportunity to drive reinvention. It allows for data to be connected as a part of a larger continuum. And by tapping into the Cloud Continuum, organizations can productize their data—wherever it resides.
Investing in data products can really pay off. After all, data products empower organizations of all kinds to leverage data to achieve critical business outcomes. It’s too big an opportunity to miss.
1 Definition from Data Jujitsu: The Art of Turning Data into Product, 2012, by Dhanurjay “DJ” Patil, former Chief Data Scientist at the United States Office of Science and Technology Policy