

{"id":125719,"date":"2020-06-09T17:25:19","date_gmt":"2020-06-09T11:55:19","guid":{"rendered":"https:\/\/analyticstraining.com\/?p=16283"},"modified":"2020-06-18T13:11:48","modified_gmt":"2020-06-18T07:41:48","slug":"how-is-data-science-changing-web-design","status":"publish","type":"post","link":"https:\/\/www.jigsawacademy.com\/how-is-data-science-changing-web-design\/","title":{"rendered":"How Is Data Science Changing Web Design?"},"content":{"rendered":"<p><span style=\"font-weight: 400;\"><b>Data science isn\u2019t just changing web design in a minor way: it\u2019s changing every aspect of it from the start of the design process to the end (and even beyond through the update process). Whenever you have the resources and expertise to deploy it, it\u2019s worthwhile, because having cut-and-dry insight into performance is invaluable.<\/b><\/span><\/p>\n<p><span style=\"font-weight: 400;\">When the internet first began to pick up some steam, it had some of the hallmarks of the Wild West: the rules hadn\u2019t been clearly defined, for instance, and direct competition was fairly minimal because there was so much space to be filled. As a result, there was a lot of freewheeling experimentation going by <\/span><i><span style=\"font-weight: 400;\">gut feeling<\/span><\/i><span style=\"font-weight: 400;\">. Just try something, see how it goes.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As the years have gone by, the online world has gone from an attention-grabbing novelty to a fundamental part of daily life. Along the way, its standards have changed immensely, and there are two reasons for this: technological progress in general, and frequent efforts from online brands to exceed previous levels of service and performance to outperform their rivals.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Given how competitive the web is now, going by gut feeling won\u2019t get brands very far, so they are essentially required to <\/span><a href=\"https:\/\/analyticstraining.com\/data-literacy-on-mind-why-it-is-important-to-have-data-smart-employees\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">invest in data science<\/span><\/a><span style=\"font-weight: 400;\">: using the smartest methods available to them to analyze relevant data and reach informed conclusions about what they need to do. In this post, we\u2019re going to consider how data science is changing web design. Let\u2019s begin:<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">It\u2019s informing every step of the process<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The significance of data science is such that it doesn\u2019t simply factor into one element of the web design process (weighing in at the end, perhaps) \u2014 instead, it has a key role to play at every point and in every department. The reasoning for this should be fairly obvious. Given that every step in a digital process inevitably produces trackable results (without trackable results, you can\u2019t know how well something is working), the <\/span><i><span style=\"font-weight: 400;\">opportunity <\/span><\/i><span style=\"font-weight: 400;\">for data science is always there.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It may not be used at all opportunities when small businesses run web design projects, but that\u2019s simply because they don\u2019t have the resources to invest so broadly. Look at big companies to see where things are going. Case in point: eCommerce giant Shopify (known for its <\/span><a href=\"https:\/\/www.shopify.com\/sell\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">sell everything everywhere<\/span><\/a><span style=\"font-weight: 400;\"> message) has a full Data Science &amp; Engineering team, but it doesn\u2019t serve exclusively as a separate unit.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Instead, as department VP Solmaz Shahalizadeh said in <\/span><a href=\"https:\/\/mattturck.com\/shopify\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">this interview with Matt Turck<\/span><\/a><span style=\"font-weight: 400;\">, \u201c<\/span><i><span style=\"font-weight: 400;\">Data scientists are embedded in different business units or product areas. They work closely with the product managers, UX researchers and development teams.<\/span><\/i><span style=\"font-weight: 400;\">\u201d By saturating the design process with data scientists, the department ensures that feedback has maximum utility.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">It\u2019s offering improved user experiences<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Putting so much time and effort into data science wouldn\u2019t be worthwhile if it didn\u2019t ultimately get impressive results, so we need to think about the net product of the investment: improved user experiences. Excellent web design needs to allow users to find what they need with minimal effort and optimal convenience. In addition to being easy to operate, it should find other ways to impress the user: the bigger a positive impression it can make, the better.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Now think about all the customized and personalized experiences you can now get in the online world. You can visit a familiar retailer and benefit from dynamic recommendations that factor in your previous purchases, deals that suit your interests, and even design elements that reflect your preferences (not common, but not unheard of).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">All of these things are made possible by the data science field: without machine learning to automate them, dynamic recommendations would need to be done <\/span><i><span style=\"font-weight: 400;\">manually<\/span><\/i><span style=\"font-weight: 400;\">. You can even think about chatbot-enhanced customer support. Being able to check up on the status of an order by issuing a request through a chatbot window <\/span><i><span style=\"font-weight: 400;\">feels <\/span><\/i><span style=\"font-weight: 400;\">like a trivial thing, but it was made possible by advances in <\/span><a href=\"https:\/\/www.forbes.com\/sites\/bernardmarr\/2019\/06\/03\/5-amazing-examples-of-natural-language-processing-nlp-in-practice\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">natural language processing<\/span><\/a><span style=\"font-weight: 400;\"> that couldn\u2019t have been achieved without deploying machine learning to process and parse vast quantities of data.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">It\u2019s starting to automate update paths<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Web designs aren\u2019t supposed to be static. Once you deploy them, it won\u2019t be very long before they\u2019re outdated relative to newer designs, so you need to make a commitment to keeping them updated. But what if you didn\u2019t need to slowly work on manual updates and carefully roll them out as appropriate? What if you could automate much of the update process?<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Well, with the right process in place (powered by data science, of course), you <\/span><i><span style=\"font-weight: 400;\">could<\/span><\/i><span style=\"font-weight: 400;\">. You could set up a system with various flexible elements and have it reshuffle those elements in response to analytics from testing. Tweak one element and see how the results change: if they get worse, revert the tweak, and if they get better, leave it as it is and tweak something else.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In the long run, self-optimizing systems are going to become extremely common. Human intelligence can then be put towards more interesting things, such as new projects <\/span><i><span style=\"font-weight: 400;\">or <\/span><\/i><span style=\"font-weight: 400;\">updates that go beyond basic comparison testing. The key will be finding a balance between the things at which computers excel (repetitive processes at massive scale) and the things at which human brains excel (complex issues requiring creative thinking).<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data science isn\u2019t just changing web design in a minor way: it\u2019s changing every aspect of it from the start of the design process to the end (and even beyond through the update process). Whenever you have the resources and expertise to deploy it, it\u2019s worthwhile, because having cut-and-dry insight into performance is invaluable. When [&hellip;]<\/p>\n","protected":false},"author":105,"featured_media":16284,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[659],"tags":[1340,655,105,1494],"form":[1499],"acf":[],"_links":{"self":[{"href":"https:\/\/www.jigsawacademy.com\/wp-json\/wp\/v2\/posts\/125719"}],"collection":[{"href":"https:\/\/www.jigsawacademy.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.jigsawacademy.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.jigsawacademy.com\/wp-json\/wp\/v2\/users\/105"}],"replies":[{"embeddable":true,"href":"https:\/\/www.jigsawacademy.com\/wp-json\/wp\/v2\/comments?post=125719"}],"version-history":[{"count":0,"href":"https:\/\/www.jigsawacademy.com\/wp-json\/wp\/v2\/posts\/125719\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.jigsawacademy.com\/wp-json\/"}],"wp:attachment":[{"href":"https:\/\/www.jigsawacademy.com\/wp-json\/wp\/v2\/media?parent=125719"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.jigsawacademy.com\/wp-json\/wp\/v2\/categories?post=125719"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.jigsawacademy.com\/wp-json\/wp\/v2\/tags?post=125719"},{"taxonomy":"form","embeddable":true,"href":"https:\/\/www.jigsawacademy.com\/wp-json\/wp\/v2\/form?post=125719"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}