Toward a Data-Driven Organization
The data science continuum provides a strategic map for organizations that seek to become more data-driven. Each of the steps in the continuum is equally important to the next level because these higher levels of complexity cannot be achieved without embracing the lower levels. The most important aspect of the data science continuum is that it summarizes an evolutionary approach toward becoming a data-driven organization. As an organization evolves toward more complex forms of data science, the earlier stages don't become vestigial appendices but remain an integral part of the data science strategy. All parts of this model are of equal relative value.
Being data-driven is, however, more than a process of increasing complexity. Evidence-based management requires the people within the organization to be data literate and work together toward a common goal. The systematic aspect of data science needs a formalized process to ensure sound outcomes...
