In the blog \u201cData Science \u2018Paint by the Numbers\u2019 with the Hypothesis Development Canvas<\/a>,\u201d I introduced the Hypothesis Development Canvas as a tool for linking an organization\u2019s data science activities with the organization\u2019s strategic business initiatives (see Figure 1).\u00a0<\/span><\/p>\n Figure<\/strong> 1<\/span><\/strong>: Using Hypothesis Development Canvas to link Machine Learning initiatives to Business Model<\/strong><\/p>\n Since publishing that blog, I\u2019ve had a chance to test the canvas with my University of San Francisco students.\u00a0<\/span> And I\u2019ll also be testing the Hypothesis Development Canvas this week during my TDWI session \u201cT6A Big Data MBA: Driving Digital Transformation with Big Data and Artificial Intelligence<\/a><\/span>\u201d in Orlando (a special surprise for my workshop attendees!!)<\/p>\n The Hypothesis Development Canvas has proven to be a big hit with my students.\u00a0<\/span>It is an effective and concise tool that integrates the different elements of the \u201cThinking Like A Data Scientist<\/a>\u201d process into a single document (see Figure 2).<\/p>\n Figure<\/strong> 2<\/span><\/strong>: \u201cThinking Like A Data Scientist\u201d Process<\/strong><\/p>\n The Hypothesis Development Canvas also ensures that data science work directly supports the organization\u2019s business and operational strategies; that the organization\u2019s precious data science and business leadership resources are focused on the organization\u2019s most important business initiatives.<\/p>\n Disclaimer:\u00a0<\/span> This is a \u201cBusiness\u201d hypothesis development and not a \u201cStatistical\u201d hypothesis testing which is the formal procedures used by statisticians to accept or reject statistical hypotheses (i.e., null hypothesis, null hypothesis).<\/p>\n I am going to use this blog to provide more details and some instructions on the use of the Hypothesis Development Canvas.\u00a0<\/span> I will provide an example Hypothesis Development Canvas for our University of San Francisco Big Data MBA in-class Chipotle assignment.<\/p>\n Below is the most current version of the Hypothesis Development Canvas \u2013 version 0.4 (see Figure 3).<\/p>\n Figure<\/strong> 3<\/span><\/strong>:\u00a0<\/span> Hypothesis Development Canvas v0.4<\/strong><\/p>\n We added some panels, combined other panels, and added numbers to support the flow of the canvas creation process (thanks John Morley).\u00a0<\/span> Here are the Instructions for each of the numbered panels on the Hypothesis Development canvas in Figure 2:<\/p>\n Figure 4 shows a completed Hypothesis Development Canvas for the Chipotle \u201cIncrease sales store sales\u201d business initiative.<\/p>\n Figure<\/strong> 4<\/span><\/strong>: Chipotle Exercise Hypothesis Development Canvas<\/strong><\/p>\n Again, see the blog \u201cRefined Thinking like a Data Scientist Series<\/a><\/span>\u201d for the content for the Hypothesis Development Canvas example (and heck, give yourself the assignment to complete the Hypothesis Development Canvas for Chipotle).<\/p>\n We\u2019ll continue to test and make refinements to the Hypothesis Development Canvas.\u00a0<\/span> I also encourage others to test, stretch, bend and abuse the canvas as a way to ensure that it reflects the best thinking of all parties.\u00a0<\/span> Thanks for your help!<\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n<\/div>\n Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Author: Bill Schmarzo In the blog \u201cData Science \u2018Paint by the Numbers\u2019 with the Hypothesis Development Canvas,\u201d I introduced the Hypothesis Development Canvas as a […] Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":467,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/1297"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=1297"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/1297\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/464"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=1297"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=1297"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=1297"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}<\/a><\/span><\/p>\n
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Hypothesis Development Canvas v0.4<\/strong><\/h1>\n
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Chipotle Hypothesis Development Canvas<\/strong><\/h1>\n
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Summary<\/strong><\/h1>\n