Introducing Domino Data Lab’s: Data Science Maturity Model
Many organizations have been underwhelmed by the return on their investment in data science. This is due to a narrow focus on tools, rather than a broader consideration of how data science teams work and how they fit within the larger organization. To help data science practitioners and leaders identify their existing gaps and direct future investment, Domino Data Lab developed a framework called the Data Science Maturity Model (DSMM).
The DSMM assesses how reliably and sustainably a data science team can deliver value for their organization. The model consists of four levels of maturity and is split along five dimensions that apply to all analytical organizations. By design, the model is not specific to any given industry — it applies as much to an insurance company as it does to a manufacturer. The matrix on the next page shows how we map the DSMM.
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