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S3 Process

The nominal S3 data science process is iterative and incremental and can, of course, be adjusted to meet the needs and rhythms of a specific customer.

Each stage of the process accepts inputs from the customer and produces artifacts for the customer. So the customer and other stakeholders can remain aware and engaged, and control their level of participation.

The process generally proceeds clockwise, but allows backtracking when needed. For instance, if, when we try to create a model, we discover that the data required for that model has not been identified, we step backward and find the appropriate data, then step forward again.

The S3 simulation science process is very similar, except it is model-driven rather than data-driven.

S3 Data Science
S3 Data Science, copyright 2016.