Data Orchestration Trends: The Shift From Data Pipelines to Data Products
Problem 2: The need for a central source of truth - A change in plans (whether it was a priority or a launch date) was impossible to coordinate across all of these documents.
Coda • An inside look at how Figma ships product
However, in the context of product development, the traditional annual budget cycle can easily: Reduce transparency into the actual costs of delivering value — costs are allocated by functional cost centers or by which bucket the money comes from, without an end-to-end product view. Remove decisions from the people doing the work — the upper manage
... See moreJoanne Molesky • Lean Enterprise: How High Performance Organizations Innovate at Scale
To recap, in order to optimize for the fast flow of safe value end-to-end, have multidisciplinary long-lived teams on long-lived products on long-lived value streams.
Jonathan Smart • Sooner Safer Happier: Antipatterns and Patterns for Business Agility
To recap, in order to optimize for the fast flow of safe value end-to-end, have multidisciplinary long-lived teams on long-lived products on long-lived value streams.
Jonathan Smart • Sooner Safer Happier: Antipatterns and Patterns for Business Agility
One element of the new architecture for big data is the view of discovery and analysis as the first order of business.