{"id":14080,"date":"2019-11-28T08:34:45","date_gmt":"2019-11-28T08:34:45","guid":{"rendered":"http:\/\/bulletins.bfconsulting.com\/?p=14080"},"modified":"2019-11-28T08:34:45","modified_gmt":"2019-11-28T08:34:45","slug":"how-financial-marketers-can-best-interact-with-data","status":"publish","type":"post","link":"https:\/\/bulletins.bfconsulting.com\/en\/how-financial-marketers-can-best-interact-with-data\/","title":{"rendered":"How financial marketers can best interact with data"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">You don\u2019t need to be an expert at artificial intelligence (AI) or machine learning to use data analytics effectively. In fact, the most sophisticated form of machine learning is the one that resides between our ears. Given that humanity is expected to produce 40 zettabytes (a zettabyte is a 1 followed by 21 zeros), this is good news for financial marketers as they try to navigate the more than 7,000 different marketing data tools available. Basically, it\u2019s more important that financial marketers avoid drowning in a sea of data and analytics and learn to become a chief questions officer who works with data specialists to get the right data and use data analytics effectively.<\/span><\/p>\n<div class=\"rpbt_shortcode\">\n\n<div id='rpbt-related-gallery-1' class='gallery related-gallery related-galleryid-14080 gallery-columns-3 gallery-size-thumbnail'><figure class='gallery-item' role='group' aria-label='Kyrgyz native develops artificial intelligence system for Wall Street'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/bulletins.bfconsulting.com\/en\/kyrgyz-native-develops-artificial-intelligence-system-for-wall-street\/'><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/bulletins.bfconsulting.com\/wp-content\/uploads\/2018\/01\/WxLA7ncWEIY-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" aria-describedby=\"rpbt-related-gallery-1-8013\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='rpbt-related-gallery-1-8013'>\n\t\t\t\tKyrgyz native develops artificial intelligence system for Wall Street\n\t\t\t\t<\/figcaption><\/figure><figure class='gallery-item' role='group' aria-label='Consumer satisfaction survey gives hope to smaller banking providers'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/bulletins.bfconsulting.com\/en\/consumer-satisfaction-survey-gives-hope-to-smaller-banking-providers\/'><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/bulletins.bfconsulting.com\/wp-content\/uploads\/2019\/02\/consumer-satisfaction-survey-gives-hope-to-smaller-banking-providers-150x150.png\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" aria-describedby=\"rpbt-related-gallery-1-12281\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='rpbt-related-gallery-1-12281'>\n\t\t\t\tConsumer satisfaction survey gives hope to smaller banking providers\n\t\t\t\t<\/figcaption><\/figure><figure class='gallery-item' role='group' aria-label='Georgia needs to focus on artificial intelligence now to benefit tomorrow'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/bulletins.bfconsulting.com\/en\/georgia-needs-to-focus-on-artificial-intelligence-now-to-benefit-tomorrow\/'><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/bulletins.bfconsulting.com\/wp-content\/uploads\/2018\/01\/0025ArtificialIntlligence-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" aria-describedby=\"rpbt-related-gallery-1-8007\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='rpbt-related-gallery-1-8007'>\n\t\t\t\tGeorgia needs to focus on artificial intelligence now to benefit tomorrow\n\t\t\t\t<\/figcaption><\/figure>\n\t\t<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>You don\u2019t need to be an expert at artificial intelligence (AI) or machine learning to use data analytics effectively. In fact, the most sophisticated form of machine learning is the one that resides between our ears. Given that humanity is expected to produce 40 zettabytes (a zettabyte is a 1 followed by 21 zeros), this &hellip;<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[80,197],"class_list":["post-14080","post","type-post","status-publish","format-standard","","category-fintech","tag-artificial-intelligence","tag-data","b_post_type-bfc-recommends"],"_links":{"self":[{"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/posts\/14080","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/comments?post=14080"}],"version-history":[{"count":1,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/posts\/14080\/revisions"}],"predecessor-version":[{"id":14081,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/posts\/14080\/revisions\/14081"}],"wp:attachment":[{"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/media?parent=14080"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/categories?post=14080"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/tags?post=14080"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}