Data Science Process Choices

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Data Science Process Learning Center Most IT project management sites focus on software engineering. To our knowledge, there is no comprehensive guide focused on data science. So gathering information from interviews, our industry experience, and third-party sources, we have developed a project management guide dedicated to data science with the goal to arm practitioners with […]

Team Data Science Process (TDSP)

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What is TDSP? Team Data Science Process If you combine Scrum and CRISP-DM, you would get something that looks like Microsoft’s Team Data Science Process. Launched in 2016, TDSP is “an agile, iterative data science methodology to deliver predictive analytics solutions and intelligent applications efficiently.” (Microsoft, 2020 ). This is a modern data science life cycle […]

CRISP-DM

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CRISP-DM Life cycle

What is CRISP DM? The CRoss Industry Standard Process for Data Mining (CRISP-DM) is a process model with six phases that naturally describes the data science life cycle. It’s like a set of guardrails to help you plan, organize, and implement your data science (or machine learning) project. Business understanding – What does the business need? Data understanding – What data do we have […]

Traditional Approaches

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Ad hoc processes might work for smaller, one-off projects but are becoming less sustainable as data science matures into a team sport. Meanwhile, Waterfall is the classic highly-structured project management approach that dates back to antiquity and was common in software 10 – 20 years ago. Realizing the need for a process specific to data […]