Agile

Scaling a Model with Data Driven Scrum at Lely

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The following is an interview by Jeff Saltz with Jelle de Jong. Jelle, a certified DSPA Team Lead, is an independent consultant. He currently works with Lely, an agricultural business based in the Netherlands. Jeff: Can you provide some background on your consulting business? Jelle: I’ve been in the quantitative modeling industry for 15+ years. […]

Team

Data Science Management: 5 Key Concepts

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The rapid increase in the number of data science projects and teams is driving an increasing need for data science management. To address this gap, it is tempting to think that any project manager (from a different field) could do the job. Or that a good senior data scientist would naturally be a good data […]

Coordination Framework

Project Management for Data Analytics

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This post will explore managing analytics projects by focusing on three questions: What is the difference between a data scientist and a data analyst? What is the difference between analytics projects and data science projects? What project management / project coordination framework might be helpful to manage analytics projects? Project Management Training for Data Analytics […]

Uncategorized

Managing Machine Learning Projects

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Machine Learning Project Management is of growing importance If you are leading machine learning projects, you have probably noticed (or soon will notice) that machine learning project management is of growing importance and that it would be extremely helpful to have a repeatable agile process framework that helps to ensure the team can generate useful […]

Workflow

What is a Data Science Workflow?

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A data science workflow defines the phases (or steps) in a data science project. Using a well-defined data science workflow is useful in that it provides a simple way to remind all data science team members of the work to be done to do a data science project. One way to think about the benefit […]

Coordination Framework

3 Steps to Define a Data Science Process

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How do you effectively define a data science process? Conceptually, a data science process explains and defines how a team should execute a project. Having a robust, repeatable process helps to ensure that the project efficiently and effectively delivers actionable insight. In this article, I’ll explore how to create a well-defined data science process in […]