How to measure the success of data teams

The article discusses the success measurement of data teams by categorizing their output into informational and operational value. Informational value refers to insights derived from data, while operational value is about having data in the right place and state. Both types of value are crucial for modern data teams. Additionally, maintaining and extending value requires data pipelines that are inspectable, maintainable, and extensible. The article will further delve into these concepts by discussing individual contributors, managers, and product owners in subsequent posts.