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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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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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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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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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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