{"id":48,"date":"2012-11-09T12:33:11","date_gmt":"2012-11-09T12:33:11","guid":{"rendered":"http:\/\/insights.canopylabs.com\/?p=48"},"modified":"2018-06-05T17:11:37","modified_gmt":"2018-06-05T21:11:37","slug":"analytics-ux-problem","status":"publish","type":"post","link":"https:\/\/staging.oddbee.com\/canopy-labs\/analytics-ux-problem\/","title":{"rendered":"Canopy Labs: user experience, data types, and more"},"content":{"rendered":"<p>Since creating Insights @ Canopy Labs, we&#8217;ve been reminded by customers and potential recruits about the old articles we posted on the original <a href=\"http:\/\/www.canopylabs.com\/blog\/\">Canopy Labs blog<\/a>. To facilitate easy reading, below are the data-oriented articles that received the most attention over the past half year:<\/p>\n<ul>\n<li><a href=\"http:\/\/www.canopylabs.com\/blog\/analytics-ux-problem\/\">Analytics has a user experience problem<\/a> Most analytics platforms are developed to solve as many data-related problems as possible, and are not catered to specific uses or solutions. This makes them difficult to use by non-statisticians, and hinders successful applications of analytic techniques. We outline three ways to overcome this challenge and make analytics more user friendly.<\/li>\n<li><a href=\"http:\/\/www.canopylabs.com\/blog\/is-accuracy-important-and-other-questions-in-enterprise-analytics\/\">&#8220;Is accuracy important?&#8221; and other questions in enterprise analytics<\/a> Using analytics in the enterprise brings with it unique challenges not present in more academic settings. Specifically, analytics becomes a strategic decision \u2014 a balancing of pros and cons, costs, and risks. Much of this is less dependent on model performance than internal corporate constraints and budgets. Data scientists take note.<\/li>\n<li><a href=\"http:\/\/www.canopylabs.com\/blog\/five-data-types\/\">Five data types often ignored by customer anlaytics teams<\/a> If your company is using analytics to improve any aspects of its sales operations, success can mean the difference between using or not using a specific variable or data set within a model. We outline five types of data that are often ignored by companies running customer analytics projects, yet are likely to yield valuable insights and drive significant model performance.<\/li>\n<\/ul>\n<p>Have other data-oriented questions? <a href=\"mailto:insights@canopylabs.com\">Let us know!<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Since creating Insights @ Canopy Labs, we&#8217;ve been reminded by customers and potential recruits about the old articles we posted on the original Canopy Labs blog. To facilitate easy reading, below are the data-oriented articles that received the most attention over the past half year: Analytics has a user experience problem Most analytics platforms are [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"_links":{"self":[{"href":"https:\/\/staging.oddbee.com\/canopy-labs\/wp-json\/wp\/v2\/posts\/48"}],"collection":[{"href":"https:\/\/staging.oddbee.com\/canopy-labs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/staging.oddbee.com\/canopy-labs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/staging.oddbee.com\/canopy-labs\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/staging.oddbee.com\/canopy-labs\/wp-json\/wp\/v2\/comments?post=48"}],"version-history":[{"count":1,"href":"https:\/\/staging.oddbee.com\/canopy-labs\/wp-json\/wp\/v2\/posts\/48\/revisions"}],"predecessor-version":[{"id":5874,"href":"https:\/\/staging.oddbee.com\/canopy-labs\/wp-json\/wp\/v2\/posts\/48\/revisions\/5874"}],"wp:attachment":[{"href":"https:\/\/staging.oddbee.com\/canopy-labs\/wp-json\/wp\/v2\/media?parent=48"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/staging.oddbee.com\/canopy-labs\/wp-json\/wp\/v2\/categories?post=48"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}