One of the key aspects of a success full analytics transformation is the ability to select, manage, scale, and accelerate data science projects and manage them in a coherent portfolio. This means that analytics organization must to develop and adopt a data science lifecycle project methodology.
This infographs summarized an holistic approach to data science project discipline.
If you are interested to see how to create the roadmap for a full Analytics transformation, see my previous post: The road to the analytics-driven organization