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3 Steps to Define an Effective Data Science Process

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In this article, I’ll explore how to create a well-defined data science process. Specifically, I’ll explain how a team’s data science process is comprised of (1) a team’s data science life cycle framework (i.e., the team’s data science process workflow), (2) a team’s coordination framework, and (3) the integration of these two frameworks. Data Science […]

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The Rise of Data Science Project Management

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It is ironic that data science, a field built upon rigorous scientific methodologies, has been slow to adopt much rigor from project management approaches. Rather, in data science, project management tends to be ad hoc and is often on the back-burner as a secondary consideration to technologies and algorithms. Fortunately, this is changing as organizations […]

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An Example Data Science Project Roadmap

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Example Data Science Project Roadmap

Various process models and frameworks such as CRISP-DM, TDSP, Domino Data Labs Lifecycle, or Data Driven Scrum describe how to execute a data science project. While useful, such models do not explicitly explain how to communicate with stakeholders on what they care most about: what deliverables will they get through a project lifecycle. In pre-project […]

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Centralized vs Decentralized Data Science Teams

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Centralized vs Decentralized Teams

Does a single centralized data science team or several decentralized teams work better? Many organizations struggle between having a single data science “center of excellence” (sometimes known as an “Enterprise” or a “Shared Service” team), which is leveraged across the organization and having smaller teams embedded within different parts of the organization. For a small […]

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10 Data Science Ethics Questions

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Data Science Ethics

Integrating Ethics in a Data Science Project: 10 Questions a Data Science Project Team Should Ask While the potential ethics issues that might arise when using data science and artificial intelligence has certainly been in the popular press recently, there is not been as much discussion with respect to how a data science team should […]