{"id":15857,"date":"2020-04-28T11:50:55","date_gmt":"2020-04-28T09:50:55","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=15857\/"},"modified":"2020-04-29T11:01:51","modified_gmt":"2020-04-29T09:01:51","slug":"analytics-news-april-2020","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-april-2020\/","title":{"rendered":"Apr\u00edlov\u00e9 novinky z analytiky nie s\u00fa \u017eiadne \u017earty"},"content":{"rendered":"

Google Cloud Healthcare API pom\u00e1ha bojova\u0165 proti COVID-19<\/b><\/h2>\n

\u013dudstvo za dobu svojej existencie prekonalo mno\u017estvo zni\u010duj\u00facich pand\u00e9mi\u00ed, t\u00e1to je ale nie\u010d\u00edm in\u00e1. Do boja proti korona v\u00edrusu dnes m\u00f4\u017eeme nasadi\u0165 siln\u00fa zbra\u0148, ktorou s\u00fa <\/span>d\u00e1ta<\/b>.<\/span><\/p>\n

Ka\u017ed\u00fd market\u00e9r a analytik mi d\u00e1 za pravdu, \u017ee pre spr\u00e1vne rozhodnutia potrebujete ma\u0165 kvalitn\u00e9 a r\u00fdchlo dostupn\u00e9 d\u00e1ta. Vo vede a medic\u00edne (\u0161peci\u00e1lne dnes v dobe pand\u00e9mie) to plat\u00ed dvojn\u00e1sobne. Spolo\u010dnos\u0165 Google preto uvo\u013enila svoju<\/span> Healthcare API<\/span><\/a> pre \u0161irok\u00fa odborn\u00fa verejnos\u0165. Google Cloud umo\u017e\u0148uje pristupova\u0165 k obrovsk\u00fdm mno\u017estvom aktu\u00e1lnych d\u00e1t v re\u00e1lnom \u010dase a vyu\u017e\u00edva\u0165 pokro\u010dil\u00e9 modely machine learningu.<\/span><\/p>\n

\"wuhan<\/p>\n

Pre zauj\u00edmavos\u0165, Northeastern University v\u010faka<\/span> API<\/span><\/a> od Googlu spracovala 5500 terabajtov d\u00e1t a vytvorila 9 mili\u00f3nov r\u00f4znych modelov \u0161\u00edrenia korona v\u00edrusu. Jedn\u00fdm z v\u00fdstupov je aj t\u00e1to anal\u00fdza, ktor\u00e1 pojedn\u00e1va o<\/span> vplyve obmedzenia cestovania na roz\u0161irovanie korona v\u00edrusu<\/span><\/a>. Na niektor\u00e9 vizualiz\u00e1cie bolo dokonca pou\u017eit\u00e9 aj na\u0161e ob\u013e\u00faben\u00e9<\/span> Data Studio<\/span><\/a>. \ud83d\ude42<\/span><\/p>\n

Viac na: Google Blog<\/a><\/p>\n

Udalosti ecommerce_purchase je mo\u017en\u00e9 konfigurova\u0165 ako konverzie<\/b><\/h2>\n

Mal\u00e1, ale d\u00f4le\u017eit\u00e1 zmena v Google Analytics App + Web. S udalos\u0165ami ecommerce_purchase je odteraz mo\u017en\u00e9 pracova\u0165 ako s \u013eubovo\u013en\u00fdmi in\u00fdmi<\/span> eventami<\/span><\/a> – m\u00f4\u017eete ich ozna\u010di\u0165 za konverziu, alebo im tento pr\u00edznak zru\u0161i\u0165. Pre\u010do je to d\u00f4le\u017eite? Webov\u00e1 str\u00e1nka aj mobiln\u00e1 aplik\u00e1cia m\u00f4\u017ee ma\u0165 mierne odli\u0161n\u00fd n\u00e1kupn\u00fd proces, tak\u017ee sa m\u00f4\u017ee sta\u0165, \u017ee <\/span>nie je purchase ako purchase<\/span><\/i>. T\u00fdm, \u017ee je ecommerce_purchase event konfigurovate\u013en\u00fd, sa minimalizuj\u00fa zm\u00e4tky a pr\u00edpadn\u00e9 chyby v konfigur\u00e1cii.<\/span><\/p>\n

\"ecommerce_purchase<\/p>\n

V star\u0161\u00edch vlastn\u00edctvach App + Web s\u00fa ecommerce_purchase eventy ozna\u010den\u00e9 ako konverzie, pri\u010dom odteraz je mo\u017en\u00e9 toto ozna\u010denie zru\u0161i\u0165. Pri nov\u00fdch vlastn\u00edctvach ich m\u00f4\u017eete, podobne ako pri v\u0161etk\u00fdch ostatn\u00fdch eventoch, za konverzie ozna\u010di\u0165.<\/span><\/p>\n

Viac na: Google Support<\/a><\/p>\n

Pokro\u010dil\u00e9 mo\u017enosti edit\u00e1cie reportov v App + Web, zn. jednoducho<\/h2>\n

Google pridal do nov\u00e9ho<\/span> App + Web<\/span><\/a> ve\u013emi \u0161ikovn\u00fa fi\u010d\u00farku pre hlb\u0161iu anal\u00fdzu jednotliv\u00fdch reportov bez toho, aby ste zasahovali do p\u00f4vodn\u00fdch reportov. Ak napr\u00edklad potrebujete niektor\u00fa metriku vizualizova\u0165 in\u00fdm typom grafu, alebo niektor\u00fd report sledova\u0165 len pre \u0161pecifick\u00fd segment, dvoma klikmi si vytvor\u00edte vlastn\u00fd report. Po kliknut\u00ed na „Edit in Analysis“ budete presmerovan\u00ed do Analysis hubu, kde m\u00f4\u017eete report upravova\u0165 ako potrebujete. Nie je to skvel\u00e9?<\/span><\/p>\n

\"edit<\/p>\n

Stiahnite si n\u00e1\u0161 Ebook: Nov\u00fd Google Analytics App + Web<\/a><\/p>\n

Realtime Content Insights – nov\u00fd analytick\u00fd n\u00e1stroj pre \u017eurnalistov<\/b><\/h2>\n

Vedeli ste, \u017ee Google m\u00e1 kompletn\u00e9 rie\u0161enie webovej analytiky pre novin\u00e1rov, \u010di redakcie? Prizn\u00e1m sa, \u017ee som o tom doteraz nepo\u010dul ani ja, no pred p\u00e1r t\u00fd\u017ed\u0148ami Google spustil n\u00e1stroj <\/span>Realtime Content Insights<\/b>. Pozrel som sa mu bli\u017e\u0161ie na z\u00fabky a je to vlastne agreg\u00e1tor realtime d\u00e1t z Google Analytics a Google Trends. Ak prev\u00e1dzkujete rozsiahly blog, alebo (ide\u00e1lne) spravodajsk\u00fd port\u00e1l, tento n\u00e1stroj v\u00e1m 24 hod\u00edn denne bude prin\u00e1\u0161a\u0165 vo vizu\u00e1lne pr\u00ed\u0165a\u017elivej podobe inform\u00e1cie o aktu\u00e1lnej n\u00e1v\u0161tevnosti, v\u010faka \u010domu budete m\u00f4c\u0165 operat\u00edvne zasiahnu\u0165 do redak\u010dn\u00e9ho pl\u00e1nu.<\/span><\/p>\n

\"realtime<\/p>\n

Ve\u013ekou v\u00fdhodou n\u00e1stroja je, \u017ee ho nemus\u00edte nijak\u00fdm sp\u00f4sobom konfigurova\u0165 – jednoducho ho prepoj\u00edte s Google Analytics. Nev\u00fdhodou (aspo\u0148 teda v slovensk\u00fdch podmienkach) je, \u017ee Google Trends disponuje obmedzen\u00fdm mno\u017estvom d\u00e1t v sloven\u010dine. Pre publisherov, ktor\u00ed p\u00f4sobia na zahrani\u010dn\u00fdch trhoch, je to ur\u010dite zauj\u00edmav\u00fd n\u00e1stroj. A navy\u0161e je zadarmo.<\/span><\/p>\n

Viac na: Tech Crunch<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Google Cloud Healthcare API pom\u00e1ha bojova\u0165 proti COVID-19 \u013dudstvo za dobu svojej existencie prekonalo mno\u017estvo zni\u010duj\u00facich pand\u00e9mi\u00ed, t\u00e1to…<\/p>\n","protected":false},"author":70,"featured_media":15917,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[669],"tags":[774],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/15857"}],"collection":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/users\/70"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/comments?post=15857"}],"version-history":[{"count":21,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/15857\/revisions"}],"predecessor-version":[{"id":15919,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/15857\/revisions\/15919"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/15917"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=15857"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=15857"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=15857"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}