{"id":11417,"date":"2020-05-03T10:45:22","date_gmt":"2020-05-03T14:45:22","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=11417"},"modified":"2020-05-03T10:45:22","modified_gmt":"2020-05-03T14:45:22","slug":"whole-foods-is-reportedly-using-a-heat-map-to-track-stores-at-risk-of-unionization","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/whole-foods-is-reportedly-using-a-heat-map-to-track-stores-at-risk-of-unionization\/11417\/","title":{"rendered":"Whole Foods is Reportedly Using a Heat Map to Track Stores at Risk of Unionization"},"content":{"rendered":"Originally published in The Verge, April 20, 2020 The heat map apparently uses more than two dozen different metrics to track which Whole Foods stores may unionize. The heat map focuses on monitoring three main areas: \u201cexternal risks,\u201d \u201cstore risks,\u201d and \u201cteam member sentiment,\u201d according to Business Insider. Here are some examples of \u201cexternal risks,\u201d reports Business Insider: Some of the factors that contribute to external risk scores include local union membership size; distance in miles between the store and the closest union; number of charges filed with the National Labor Relations Board alleging labor-law violations; and a <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/whole-foods-is-reportedly-using-a-heat-map-to-track-stores-at-risk-of-unionization\/11417\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in The Verge, April 20, 2020 The heat map apparently uses more than two dozen different metrics to track which Whole Foods stores may unionize. The heat map focuses on monitoring three main areas: \u201cexternal risks,\u201d \u201cstore risks,\u201d and \u201cteam member sentiment,\u201d according to Business Insider. Here are some examples of \u201cexternal risks,\u201d [&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":[59,1093,243,203,8],"class_list":["post-11417","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-analytics","tag-heat-maps","tag-machine-learning","tag-metrics","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11417","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=11417"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11417\/revisions"}],"predecessor-version":[{"id":11418,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11417\/revisions\/11418"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=11417"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=11417"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=11417"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}