Companies starting or undergoing an Advanced Analytics roadmap typically define Use Case list and priorities based on business pressure or stakeholder importance, but these factors alone typically result into a program which is either non sustainable in terms of technologies, of organization, or data, causing delays or non optimal Use Cases results. This often brings to a program slow down or to a decrease of appeal and of interest in Data Science.
We developed the DUDE framework to support organizations along the journey of Data-driven transformation: Understand, Define, Execute. It is a use-case driven, incremental approach to a data-driven transformation, where Use Cases are put in a row based on a deep analysis of their ROI, data and technology needed, precedences and constraints, modeling risks.
The output of this exercise is a comprehensive plan coordinating Organization, Use Cases, Technology with a ROI based sustainable approach.