{"id":235536,"date":"2022-11-09T13:00:16","date_gmt":"2022-11-09T13:00:16","guid":{"rendered":"https:\/\/www.webessential.co.za\/afstereo\/?page_id=235536"},"modified":"2023-01-17T11:04:59","modified_gmt":"2023-01-17T09:04:59","slug":"data-science","status":"publish","type":"page","link":"https:\/\/www.afstereo.co.za\/index.php\/data-science\/","title":{"rendered":"Data Science"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; custom_padding_last_edited=&#8221;on|phone&#8221; disabled_on=&#8221;off|on|off&#8221; _builder_version=&#8221;4.18.1&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; background_enable_image=&#8221;off&#8221; background_size=&#8221;custom&#8221; background_image_width=&#8221;85%&#8221; background_image_height=&#8221;82%&#8221; background_position=&#8221;top_right&#8221; width=&#8221;100%&#8221; min_height=&#8221;110%&#8221; min_height_tablet=&#8221;40vw&#8221; min_height_phone=&#8221;&#8221; min_height_last_edited=&#8221;on|phone&#8221; 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custom_padding=&#8221;100px||||false|false&#8221; custom_padding_tablet=&#8221;&#8221; custom_padding_phone=&#8221;40px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;3_5,2_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text module_id=&#8221;Intro&#8221; _builder_version=&#8221;4.18.1&#8243; _module_preset=&#8221;370cf134-a811-4d7c-90e9-083991f25ee4&#8243; header_font=&#8221;Roboto|500|||||||&#8221; header_text_color=&#8221;#000000&#8243; header_font_size=&#8221;40px&#8221; header_line_height=&#8221;1.1em&#8221; custom_margin=&#8221;||||false|false&#8221; header_font_size_tablet=&#8221;36px&#8221; header_font_size_phone=&#8221;22px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1>Introduction<\/h1>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;2_3,1_3&#8243; _builder_version=&#8221;4.18.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;1vw|auto||auto|false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;2_3&#8243; _builder_version=&#8221;4.18.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.18.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\">AFSTEREO works independently, impartially and has no vested downstream interest in any of the data-outcomes it provides. AFSTEREO Radio and Television Data is provided for all sought after broadcast-platforms 24\/7\/365, uninterrupted. AFSTEREO Content is recorded from a transmitter with <\/span><span style=\"font-weight: 400;\">no<\/span><span style=\"font-weight: 400;\"> requirement for pre-watermarking and \/ or pre-fingerprinting. Accurate AFSTEREO Data is available for all pre-recorded and non-pre-recorded broadcast content.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.18.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;3_5,2_5&#8243; _builder_version=&#8221;4.18.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;3vw|auto||auto|false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.18.1&#8243; _module_preset=&#8221;370cf134-a811-4d7c-90e9-083991f25ee4&#8243; header_font=&#8221;Roboto|500|||||||&#8221; header_text_color=&#8221;#000000&#8243; header_font_size=&#8221;35px&#8221; header_line_height=&#8221;1.1em&#8221; custom_margin=&#8221;||10px||false|false&#8221; header_font_size_tablet=&#8221;36px&#8221; header_font_size_phone=&#8221;22px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1>How Does It Work?<\/h1>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;2_3,1_3&#8243; _builder_version=&#8221;4.18.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;2_3&#8243; _builder_version=&#8221;4.18.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.19.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Roboto|300|||||||&#8221; header_font=&#8221;Roboto||||||||&#8221; header_2_font=&#8221;Roboto||||||||&#8221; header_3_font=&#8221;Roboto||||||||&#8221; custom_margin=&#8221;3px|||||&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p>AFSTEREO makes exclusive use of the USA Patented Aircheck Passive Wave Pattern Recognition Technologies to power its own Gnosko Radio and Television Data Management Platform. Gnosko instantly generates and distributes\u00a0a wide variety of standardized ready to use advertising-reports for Southern African Markets. AFSTEREO also works closely with its Gnosko Mauritius License Partner to invent, develop and deploy bespoke software solutions\u00a0specifically designed to facilitate machine learning analysis of large volumes of content-data and introduce sought after efficiencies.\u00a0 As a trusted solutions provider AFSTEREO is always good for, however not necessarily limited to:<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automation of data tracking, collection and processing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Collecting, cleaning, and reorganizing raw data for analysis<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Making more sense of unrelated and large volume data sets<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Analyzing data groups to facilitate the identification of trends translatable into useful insights<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Developing tools and processes to monitor and analyze data accuracy<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Collaborating with business-partners\u00a0 to identify clients\u2019 evolving information needs<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Acquiring data from primary and secondary sources and using it to enhance overall user experiences<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Identifying and presenting findings to inform data-driven decisions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Building data visualization tools, dashboards and reports customized for a wide variety of businesses and purposes<\/span><\/li>\n<\/ul>\n<p><b>Continually make more sense of the world<\/b><\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; 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