Driving the adoption with an adaptive data strategy
In this section, we will introduce the EDGE operating model, which we recommend using to define an agile, distributed, and adaptive data strategy to move successfully through all the phases of the adoption journey.
Understanding evolutionary strategy pillars
The data-as-a-product paradigm defines a set of connected principles, architectures, processes, and practices that must be contextualized during implementation based on the history and objectives of the specific organization. Therefore, it is not possible to apply this paradigm uniformly in every context. Thus far, we have described the adoption journey as a sequence of phases, specifying objectives and challenges for each, but we have only provided high-level suggestions regarding the concrete activities to be performed in each phase. It is the responsibility of each organization to define its own adoption journey incrementally, do experiments, learn from mistakes, and...
