…alyses — they can write their own SQL, build their own dashboards, interpret their own experiments. They are skeptical of anyone who claims “the data speaks for itself” since they know this is never true. People speak for data and knowing how the analysis was conducted is just as important as having the results. Data PMs aren’t slavishly “data driven” decision-makers that blindly make calls based on single num…Rise of the Data Product Manager1.7K20Trey CauseyDavid HellerFollowJul 10, 2017 · 1 min readThis text also speaks to the value of using Jupyter notebooks to publish and collaborate.