I have built data products at Twitter, Walmart, SnapLogic, and several startups. At Twitter, I worked on data products for privacy and compliance, serving policy teams, legal reviewers, and engineers. At Walmart, I built data products around cloud cost and revenue that powered executive reporting, finance workflows, and engineering tools.
The pattern across this work is consistent. Teams that treat data as a product, with a user, a contract, and an owner, move faster. Teams that treat data as a sequence of projects answer the same question every quarter. My consulting work applies the first model to your stack.
The framework behind this is written up in Data as a product.