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Data Science Process Alliance

Tag: culture

October 31, 2021Last Updated: October 31, 2022Project ManagementBy Nick Hotz

9 Pieces of a Data Science Strategic Plan

A data science strategic plan isn’t just about data. Rather, it is a comprehensive plan that defines how you build and maintain an ecosystem that delivers sustainable value from your data science investments.

Developing this plan is not easy. So why bother?

Well, without one, you could be steering down a path without knowing where it is going…

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failure
February 13, 2021Last Updated: November 13, 2022Project ManagementBy Nick Hotz

Why Big Data Science & Data Analytics Projects Fail

The Boston Dynamics humanoid robot tripping over a curtain and tumbling off stage? A prediction model that tips a teen’s parents off to her pregnancy? A music recommendation engine that suggests Coldplay? Yup. There are just too many big data, data science, and data analytics failure examples to cover in […]

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leading data science teams
December 31, 2020Last Updated: January 18, 2023TeamBy Nick Hotz

How to Lead Data Science Teams

It’s an understatement that great leadership is challenging and rare. And leading data science teams has unique challenges: While this topic might seem most relevant to management and executives, remember that leadership is not a title. Rather, I encourage everyone reading this post to assess these points and to upskill […]

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March 24, 2020Last Updated: May 2, 2022TeamBy Jeff Saltz

5 Keys to Improve a Remote Data Science Team

Many data science teams now have at least some team members working remote. However, many managers are not used to having team members work remote and so, are not aware of the challenges that need to be considered. With a well defined process, and a focus on 5 keys actions described […]

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Agile Gazelle
April 21, 2019Last Updated: August 1, 2022AgileBy Nick Hotz

Is Agile a Fit for Data Science?

As explained in the previous post, much of the debate on agile’s potential fit for data science focuses on the use of a specific framework (such as Scrum), and the associated processes and artifacts such as story pointing, burn down charts, or sprint lengths. Unfortunately, this drowns the argument into […]

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