{"id":6794,"date":"2015-11-25T14:00:50","date_gmt":"2015-11-25T19:00:50","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=6794"},"modified":"2015-12-04T10:41:28","modified_gmt":"2015-12-04T15:41:28","slug":"3-big-data-use-cases-for-manufacturing-analytics","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/3-big-data-use-cases-for-manufacturing-analytics\/6794\/","title":{"rendered":"3 Big Data Use Cases for Manufacturing Analytics"},"content":{"rendered":"We have executed a multitude of\u00a0data science projects in the manufacturing vertical. While most of them were done without the help of big data tools, we think most\u00a0of them will require such capabilities as we expand the scope of available data. Below we run through a series of use cases when viewed\u00a0from a big data perspective. Use Case: Manufacturing Overhead and Labor cost tracking One factor that impacts profitability in manufacturing is\u00a0overhead. Tracking and understanding the root causes behind what drives manufacturing overhead costs can be very challenging. Setting up a data driven process to do this is <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/3-big-data-use-cases-for-manufacturing-analytics\/6794\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>We have executed a multitude of\u00a0data science projects in the manufacturing vertical. While most of them were done without the help of big data tools, we think most\u00a0of them will require such capabilities as we expand the scope of available data. Below we run through a series of use cases when viewed\u00a0from a big data [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[42,390,8,416],"class_list":["post-6794","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-big-data","tag-manufacturing","tag-predictive-analytics","tag-simafore"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6794","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=6794"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6794\/revisions"}],"predecessor-version":[{"id":6797,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6794\/revisions\/6797"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=6794"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=6794"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=6794"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}