{"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='BFC FinTech Monitor (19th \u2013 27th October)'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/bulletins.bfconsulting.com\/en\/bfc-fintech-monitor-19th-27th-october\/'><img width=\"150\" height=\"150\" src=\"https:\/\/bulletins.bfconsulting.com\/wp-content\/uploads\/2021\/10\/d67a1337-0418-23ed-ba90-9a998fd0f3141-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" decoding=\"async\" aria-describedby=\"rpbt-related-gallery-1-16404\" loading=\"lazy\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='rpbt-related-gallery-1-16404'>\n\t\t\t\tBFC FinTech Monitor (19th \u2013 27th October)\n\t\t\t\t<\/figcaption><\/figure><figure class='gallery-item' role='group' aria-label='How financial institutions are supporting SMEs in the CIS and the Caucasus with non-financial services'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/bulletins.bfconsulting.com\/en\/how-financial-institutions-are-supporting-smes-in-the-cis-and-the-caucasus-with-non-financial-services\/'><img width=\"150\" height=\"150\" src=\"https:\/\/bulletins.bfconsulting.com\/wp-content\/uploads\/2020\/06\/b73920ff-8084-400c-8eb2-fef665f4eeec1-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" decoding=\"async\" aria-describedby=\"rpbt-related-gallery-1-15030\" loading=\"lazy\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='rpbt-related-gallery-1-15030'>\n\t\t\t\tHow financial institutions are supporting SMEs in the CIS and the Caucasus with non-financial services\n\t\t\t\t<\/figcaption><\/figure><figure class='gallery-item' role='group' aria-label='15 Technology Trends in Banking and Fintech for 2024'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/bulletins.bfconsulting.com\/en\/15-technology-trends-in-banking-and-fintech-for-2024\/'><img width=\"150\" height=\"150\" src=\"https:\/\/bulletins.bfconsulting.com\/wp-content\/uploads\/2023\/12\/39075984-1262-d092-1405-d52a260adc3d1-150x150.png\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" decoding=\"async\" aria-describedby=\"rpbt-related-gallery-1-17404\" loading=\"lazy\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='rpbt-related-gallery-1-17404'>\n\t\t\t\t15 Technology Trends in Banking and Fintech for 2024\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}]}}