In Chapter 1, we discussed strategy for data science teams. Yet you can’t benefit from a strategy until you have achieved something for your customers. For a data scientist, this usually means completing a project. The strategy for the team guides some of the projects and its prioritization and is the base of the project’s strategy. However, projects still need their own strategy to properly define their objective and the means that are available and allowable to achieve the objective. By nailing this at the beginning of each ...
© Robert de Graaf 2019
Robert de GraafManaging Your Data Science Projectshttps://doi.org/10.1007/978-1-4842-4907-9_22. Data Science Strategy for Projects
Meeting the Right Targets
Robert de Graaf1
(1)
Kingsville, VIC, Australia
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