Getting the Data Needed for Data Science

Data science is about the data that you need; deciding which data to collect, create, or keep is fundamental, argues Lukas Vermeer, an experienced Data Science professional and Product Owner for Experimentation at True innovation starts with asking big questions, then it becomes apparent which data is needed to find the answers you seek. Vermeer spoke about Data Science versus Data Alchemy at the GOTO Amsterdam 2016 conference. Christine Doig, Senior Data Scientist at Continuum Analytics, defined data science in Data Science as a Team Discipline as: I like to think of [data science] as the glue that is bringing together different fields and lines of thought, to commonly solve problems around data and transform information to knowledge and actionable insights. Ed Jones explains in the InfoQ article The…

Link to Full Article: Getting the Data Needed for Data Science

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