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Data Science Process Alliance

Tag: product management

July 28, 2022Last Updated: August 23, 2022Agile, Life CycleBy Jeff Saltz

The Data Science Maturity Model

A data science team’s process is a key driver to their projects’ success. However, as will be discussed below, there is not an existing AI / data science maturity model that is focused on how to evaluate (and improve) a team’s process. Hence, after reviewing several Analytics / Data Science […]

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data science product management
June 25, 2022Last Updated: June 29, 2022Agile, Life CycleBy Nick Hotz

What is a Data Science MVP?

By their nature, data science products are risky. Building a Data Science MVP can reduce that risk by focusing the early development life cycle on discovery and learning. The onset of a data science project has a lot of unknowns – on the data, algorithm, systems, and business side. You […]

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data science documentation best practices
December 30, 2021Last Updated: December 5, 2022Project ManagementBy Nick Hotz

15 Data Science Documentation Best Practices

There’s no single data science project documentation recipe. Rather, your documentation needs will vary by project, team, organization, and industry. And it’s not just about producing data science model documentation. Instead, think broader and ask – What do I need to document and why? Once you’ve thought this through and […]

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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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Product Manager
February 23, 2020Last Updated: May 30, 2022TeamBy Nick Hotz

The Data Science Product Manager

The demands for data science insights and systems far outstrip the capacity for data science teams to deliver. How do you best balance this? Enter the Data Science Product Manager. Unlike more tactical roles like the project manager who oversees the project life cycle or a process master who drives […]

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January 29, 2020Last Updated: May 2, 2022TeamBy Jeff Saltz

8 Key Data Science Team Roles

Based on my personal experience, below are the 8 key data science team roles to think about when building and leading a data science team. These are not in any specific order, as their importance might vary from one project to another, or from one organization to another. Furthermore, not […]

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Questions to ask for Data Science Projects
May 20, 2019Last Updated: May 2, 2022Project ManagementBy Nick Hotz

10 Questions to Ask Before Starting a Data Science Project

Data science projects are challenging. To increase your odds of success, start them by asking several key data science project questions. As Ben Franklin said, “an ounce of preparation saves a pound of headaches in your data science projects”.* To help you prepare for a project and evaluate whether to […]

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Data science life cycle per Domino Data Labs
February 12, 2019Last Updated: February 13, 2022Life CycleBy Nick Hotz

Lessons from 20 Data Science Teams

What can you learn if you observe data science teams across 20 large companies? I asked Mac Steele, Director of Product at Domino Data Lab, to find out. Mac combined the lessons he learned from observing data science teams with concepts from CRISP-DM and agile to create the Domino Data Science Lifecycle Domino […]

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