Data Science and the Art of Persuasion
hbr.org
The problem is that those scientists are trained to ask smart questions, wrangle the relevant data, and uncover insights—but not to communicate what those insights mean for the business To be successful, the author writes, a data science team needs six talents: project management, data wrangling, da
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- The problem is that those scientists are trained to ask smart questions, wrangle the relevant data, and uncover insights—but not to communicate what those insights mean for the business
- To be successful, the author writes, a data science team needs six talents: project management, data wrangling, data analysis, subject expertise, design, and storytelling.
- Define talents, not team members. (2) Hire to create a portfolio of necessary talents. (3) Expose team members to talents they don’t have. (4) Structure projects around talents
- Data has begun to change our relationship to fields as varied as language translation, retail, health care, and basketball.
- lack of management/financial support,” “lack of clear questions to answer,” “results not used by decision makers,” and “explaining data science to others.” T
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