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Data Science Process Alliance

  • Training for Individuals
    • Courses
    • Student Testimonials
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    • Register
  • Team Coaching
    • Private Group Courses
    • Agile Transformation
    • Implement Best Practices
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Data Science Process Alliance

Tag: ad hoc

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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most popular data science processes
November 30, 2020Last Updated: May 2, 2022Life CycleBy Jeff Saltz

CRISP-DM is Still the Most Popular Framework for Executing Data Science Projects

During the past few months, we conducted a poll to see what project management framework teams used to help execute their data science projects. Based on our survey of 109 respondents, nearly half of the respondents most commonly use CRISP-DM. This was followed by Scrum, Kanban and “My Own”. See results below. […]

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CRISP-DM Life cycle
June 30, 2020Last Updated: August 1, 2022Life Cycle, Project ManagementBy Nick Hotz

10 Ways to Manage a Data Science Project – Part I: Traditional Approaches

How do you manage data science projects? Is it software? Is it research? Or maybe, simply magic? This four-part post is an overview 10 ways projects are or could be managed. To start, we’ll explore ad hoc project management, waterfall, and CRISP-DM.

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ad hoc
September 10, 2018Last Updated: July 14, 2020Project ManagementBy Nick Hotz

Ad Hoc Data Science

ad hoc  (adv) – “for the particular end or case at hand without consideration of wider application” –Merriam Webster Dictionary High Reliance on Ad Hoc Processes Without established methodologies for managing data science projects, teams often resort to ad hoc practices that are not repeatable, sustainable, or organized. Such teams […]

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