{"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='Bank BGZ BNP Paribas leading the way with fintech and startups'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/bulletins.bfconsulting.com\/en\/bank-bgz-bnp-paribas-leading-the-way-with-fintech-and-startups\/'><img width=\"150\" height=\"150\" src=\"https:\/\/bulletins.bfconsulting.com\/wp-content\/uploads\/2018\/02\/BNP-Paribas-International-Hackathon-querona-2-1-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" decoding=\"async\" aria-describedby=\"rpbt-related-gallery-1-8581\" loading=\"lazy\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='rpbt-related-gallery-1-8581'>\n\t\t\t\tBank BGZ BNP Paribas leading the way with fintech and startups\n\t\t\t\t<\/figcaption><\/figure><figure class='gallery-item' role='group' aria-label='BFC FinTech Monitor 28th July \u2013 3rd August'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/bulletins.bfconsulting.com\/en\/bfc-fintech-monitor-28th-july-3rd-august\/'><img width=\"150\" height=\"150\" src=\"https:\/\/bulletins.bfconsulting.com\/wp-content\/uploads\/2020\/08\/e17be0df-4211-4827-a19e-8a92207ba8da1-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" decoding=\"async\" aria-describedby=\"rpbt-related-gallery-1-15189\" loading=\"lazy\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='rpbt-related-gallery-1-15189'>\n\t\t\t\tBFC FinTech Monitor 28th July \u2013 3rd August\n\t\t\t\t<\/figcaption><\/figure><figure class='gallery-item' role='group' aria-label='4 lessons financial institutions can learn from digital-centric companies'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/bulletins.bfconsulting.com\/en\/4-lessons-financial-institutions-can-learn-from-digital-centric-companies\/'><img width=\"150\" height=\"150\" src=\"https:\/\/bulletins.bfconsulting.com\/wp-content\/uploads\/2019\/08\/4-lessons-financial-institutions-can-learn-from-digital-centric-companies-150x150.png\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" decoding=\"async\" aria-describedby=\"rpbt-related-gallery-1-13522\" loading=\"lazy\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='rpbt-related-gallery-1-13522'>\n\t\t\t\t4 lessons financial institutions can learn from digital-centric companies\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],"_links":{"self":[{"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/posts\/14080"}],"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}]}}