{"id":10747,"date":"2020-01-14T02:03:10","date_gmt":"2020-01-14T07:03:10","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=10747"},"modified":"2020-01-14T02:03:10","modified_gmt":"2020-01-14T07:03:10","slug":"data-project-checklist","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/data-project-checklist\/10747\/","title":{"rendered":"Data Project Checklist"},"content":{"rendered":"Originally published in Fast.ai, January 7, 2020. As we discussed in Designing Great Data Products, there\u2019s a lot more to creating useful data projects than just training an accurate model! When I used to do consulting, I\u2019d always seek to understand an organization\u2019s context for developing data projects, based on these considerations: Strategy: What is the organization trying to do (objective) and what can it change to do it better (levers)? Data: Is the organization capturing necessary data and making it available? Analytics: What kinds of insights would be useful to the organization? Implementation: What organizational capabilities does <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/data-project-checklist\/10747\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Fast.ai, January 7, 2020. As we discussed in Designing Great Data Products, there\u2019s a lot more to creating useful data projects than just training an accurate model! When I used to do consulting, I\u2019d always seek to understand an organization\u2019s context for developing data projects, based on these considerations: Strategy: What is [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-10747","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10747","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=10747"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10747\/revisions"}],"predecessor-version":[{"id":10751,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10747\/revisions\/10751"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=10747"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=10747"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=10747"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}